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HSQLDB Experts in Germany

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Hire experts who design embedded Java databases, write efficient SQL, and support HSQLDB testing and production workflows. FRATCH matches you quickly and precisely with vetted, available freelancers for remote or on-site collaboration.

Meet FRATCH Experts in Germany, who have recently used HSQLDB

Verified expert

James C.

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Freelance Android Developer

Niedereschach
James C.

Last position:

Freelance Android Developer at Normalis

  • Working on Telecommunication Apps on Android under NDA for the Military
  • Participation in the development of backend services (Spring, Java)
  • Android Development, Kotlin, Compose, REST, JSON, State-Machines, Android Studio, IP Communication, Cybersecurity, Agile
Verified expert

Frank B.

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Linux Expert, Engineering/Development/Security, C/Java/Python/JS

Herford
Frank B.

Last position:

System Engineer at Frequentis Comsoft

  • Migrate company software to RHEL10
  • Development in Bash, Python, C, Ansible
Verified expert

Nikunjkumar P.

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Senior Java Backend Developer

Kleinmachnow
Nikunjkumar P.

Last position:

Senior Java Backend Developer at Questax Professionals GmbH

  • Provide the Price Listing Service team with prices for all cars and vans in different markets
  • Adapt market-specific requirements such as taxes, government subsidies, campaigns
  • Import and synchronize new prices for all new and existing cars and store them in the Redis datastore
  • Support our product and on-call duty
  • Daily business, development of new features, bug fixing
  • Pair programming, code review, mob programming
  • Develop POCs for new ideas
  • Maintain and extend the backend
  • DevOps tasks
  • Run Kubernetes updates
  • Adjust and further develop Kubernetes resources
  • Develop and adapt Helm charts
  • Adapt and update ArgoCD
  • Maintain, adapt, and improve CI/CD
Verified expert

Tezcan D.

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Solution Architect / Project Manager

München
Tezcan D.

Last position:

Solution Architect / Project Manager at German Football Association

  • Overall responsibility for the project lifecycle from scope definition to completion
  • Close collaboration with platform teams, IT leaders, and external service providers
  • Application of SAFe principles and structured sprint work
  • Creation of a migration roadmap with clear milestones
  • Monitoring of the lifecycle: onboarding, repository migration, replication of permissions, and system tests
  • Visualization of the architecture with PlantUML and Gliffy as well as documentation in Confluence
  • Regular status reports and running knowledge transfer sessions
Verified expert

Manish K.

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Freelance Senior Solutions Architect

Kiel
Manish K.

Last position:

Freelance Senior Solutions Architect at YoungIT

  • Worked with a UK based organisation offering a range of free sexual health services such as STI testing, treatment and contraception across the UK
  • Created a Liferay DXP based customer facing portal (version 7.4) over Liferay Experience Cloud
  • Designed and developed Liferay modules
  • Managed Liferay Experience Cloud and release management
  • Coordinated with different teams and helped other team members on Liferay challenges
  • Engaged in discussions with business and stakeholders on expectations
  • Implemented architectural best practices
Verified expert

Anton K.

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Head of Overall Technical Integration NSC / Hadoop Cloud Development

Munich
Anton K.

Last position:

Head of Overall Technical Integration NSC / Hadoop Cloud Development at IABG

  • Head of overall technical integration NSC (National Secure Cloud, project with approx. 60 employees).

  • Technical integration of all subprojects into one product, definition of interfaces and basic components of a cloud including hardware, technical architecture of the IABG platform.

  • Development of a Cloud Management Platform (CMP) capable of creating private/mixed clouds of any complexity based on a textual description with one click or interactively.

  • CMP also includes the complete hardware management lifecycle.

  • Kubernetes, OpenStack and Hadoop are used as the foundation.

  • The management layer includes Harbor, Gitea, Longhorn, Keycloak, Rancher and Jenkins, which are configured automatically.

  • Private cloud can run any customer workloads, including a full Hadoop layer with HDFS, Spark, MapReduce, Mesos, HBase and around 20 additional ML/DL technologies.

  • Hadoop worker clusters can also be installed automatically without Kubernetes on bare metal or commodity hardware.

  • OpenStack with Nova, Neutron, Ironic, Swift, Cinder, Ceph.

  • Development of a Java application Rudi: SOAP, REST, containers, DB.

  • Technologies: Kubernetes (K3s, Rke2, Minikube, Harbor, Gitea, Jenkins, Longhorn, Keycloak, Rancher), OpenStack (Nova, Neutron, Keystone, Swift, Ceph, Cinder, Sahara, Magnum, Kayobe, Kolla, Bigrost, Ironic), Hadoop (HDFS, Ambari, Solr, Livy, Ranger, YARN, Tez, HBase, Kafka, Hive, Zookeeper, MapReduce, Spark, Oozie, Flink), virtualization (Kubernetes (K3S), VMware, Oracle), scripting (Ansible, Puppet, Juju, Shell, Groovy, Gradle, Maven).

Verified expert

Syamala H.

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Fullstack Developer

München
Syamala H.

Last position:

Fullstack Developer at BLG Logistics Group

  • As part of developing this project, various apps were developed for an IBM portal environment based on portlets and Spring Boot services, as well as the setup of a BI platform based on QlikView

  • Full-stack development of applications, technical analysis, refinement of requirements with the business department, coordination with the customer, DevOps

  • Team size: 8 people

  • Technology: Java 11.0, Maven, Git, Spring, Hibernate, JUNIT, Mockito, React, Jira, SQL, Spring Boot, CD/CI Jenkins, Kanban, Rest Api, Oracle

  • Environment: Eclipse, IBM Rational Application Developer

Verified expert

Michael K.

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Architect and Full-Stack Developer

Dresden
Michael K.

Last position:

Atruvia AG

  • Further development of framework components and services in the Enterprise Banking Control Platform (EGP Framework), a set of cross-cutting libraries and services for all bounded context scopes of the platform.
  • Migration from Java 17 to Java 21 and from Spring Boot 3.2 to 3.4 in about 80 library and service repositories (updating Maven POMs, Dockerfiles, Jenkins pipelines, source code migration, test updates).
  • Writing unit and integration tests with JUnit and JGiven.
  • Performing and analyzing performance measurements with Dynatrace.
  • Enhancing multi-stage CI/CD pipelines (unit tests, security analyses, Docker builds, Harbor deployments, ...).
  • Tech stack used: Java (90%), Python (10%), Spring Boot, JPA/Hibernate, JGiven, OpenAPI, Camunda 7, Podman, OpenShift/Kubernetes, Oracle DB, SonarQube, Dynatrace, Jenkins, Harbor, Bitbucket, Jira, Confluence.
Verified expert

Vladimir M.

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Developer

Brühl
Vladimir M.

Last position:

Developer at Financial services provider

  • Support and further development of a framework for developing applications in a banking association: DynS/OSPE
  • Migration of the framework to Java 11 and Java 17
  • Java8, Java11 and Java17, Spring, Spring-Batch, Spring WebServices, Spring-Security, Spring-Data, JPA, Hibernate, OpenSource libraries etc.
  • XML, JAXB, JSON, REST and SOAP services, DB2, Oracle, WebSphere or Liberty AS, FreeMaker, Junit, mock libraries, JaCoCo, Maven, IntelliJ, Eclipse, GitHub, SVN, Jira
Verified expert

Jürgen B.

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Software Developer

Wedel
Jürgen B.

Last position:

Software Developer at Inform AG

  • Coaching junior developers
  • Further development and customer-specific extensions of a standard software product (microservices (DDD) and partly monolith)
  • Interface extensions
  • Web services
  • Test automation
  • Design
  • Technologies used: Java8, Java17, TypeScript, Python, PostgreSQL, Spring (Integration, Data, Boot), JPA, AWS (Cloud, Lambda, EC2, SQS/SNS), Microservices, Fitnesse/Cucumber, Gitlab
Verified expert

Elvir B.

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Software Architect and Software Developer

Stuttgart
Elvir B.

Last position:

Software Architect and Software Developer at Noctica IT GmbH

  • NocTime time tracking, workshop planner, meal delivery service app
  • LLM-based chat bot to control the NocTime time tracking system via voice input
  • New and further development of customer solutions based on the Noctica SAS app framework
  • Technologies: Java 17, Spring Boot, JPA, Hibernate, JavaScript, TypeScript, Angular 20, Angular Material, React, C#, Docker, Bash, Git, GitLab, RedMine, SQL, DBeaver, MariaDB, PostgreSQL, Python, TensorFlow, Ollama, various LLMs
Verified expert

Jörg-Ulrich H.

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BigData Engineer

Friedrichsdorf
Jörg-Ulrich H.

Last position:

Data flows for health insurance providers

  • Further development and creation of data flows for health insurance providers
  • Data management across various storage systems (DB2, MSSQL, PostgreSQL, S3, custom APIs, ...)
  • Documentation and training
  • Planning and deployment of NiFi 2.x (major upgrade)
  • Integrating Grafana for visualization, monitoring, and alerting
  • Extensive use of the NiFi API to continuously monitor the system and its components
Verified expert

Radoslav Y.

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Senior Software Engineer

Karlsruhe
Radoslav Y.

Last position:

Senior Software Engineer at Radoslav Yankov – Software Engineering

Verified expert

Sven H.

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Process Architect (Symbio, Signavio)

Munich
Sven H.

Last position:

Process Architect (Symbio, Signavio) at IT service provider for an international premium automobile manufacturer

  • Analysis, coordination, and modeling of business processes (BPMN 2.0) for the 'The New Retail' program in the areas of 'Invoicing', 'Tax', 'Customs', and 'Accounting'
  • Tracking user stories and their impact on processes
  • Contact person for preparing the tool migration from Symbio to Signavio for the areas mentioned
  • Power user after the introduction of Signavio, contact person and coach for the other process modelers

Discover over 15,000 top freelancers

Statistics of experts using HSQLDB

Aggregated from the professional profiles of matched freelancers.

Experience

21 years

HSQLDB experts in Germany have 21 years of professional experience on average.

Position duration

1.5 years

HSQLDB experts in Germany stay in a single position for 1.5 years on average.

Positions per freelancer

18

HSQLDB experts in Germany have completed 18 positions on average over the course of their careers.

Top business areas

Information Technology, Product Development, Quality Assurance

HSQLDB experts in Germany have gathered most of their hands-on project experience in Information Technology, Product Development, and Quality Assurance.

Top industries

Information Technology, Automotive, Banking and Finance

HSQLDB experts in Germany are most in demand in Information Technology, Automotive, and Banking and Finance.

Certification focus areas

Information Technology, Product Development, Operations

HSQLDB experts in Germany earn their certifications most often in Information Technology, Product Development, and Operations.

Bachelor's degree or higher

90%

90% of HSQLDB experts in Germany hold at least a Bachelor's degree.

Master's degree or higher

70%

70% of HSQLDB experts in Germany hold at least a Master's degree.

Doctorate

20%

20% of HSQLDB experts in Germany have a doctorate (PhD).

Certifications per freelancer

3

HSQLDB experts in Germany hold 3 professional certifications on average.

Most common languages

German, English, Russian

HSQLDB experts in Germany most often speak German, English, and Russian.

Speak two or more languages

100%

100% of HSQLDB experts in Germany speak two or more languages.

Based on our profile pool as of 29 Oct 2026.

Daily rate distribution

0% 25% 50% 75% 100%
23% of HSQLDB experts in Germany charge less than €720 per day.
15% of HSQLDB experts in Germany charge between €720 and €800 per day.
23% of HSQLDB experts in Germany charge between €800 and €880 per day.
15% of HSQLDB experts in Germany charge between €880 and €960 per day.
15% of HSQLDB experts in Germany charge between €960 and €1040 per day.
8% of HSQLDB experts in Germany charge €1040 or more per day.
<€720 €720-​800 €800-​880 €880-​960 €960-​1040 €1040+

The chart shows how the daily rates of experts in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.

Average rates of experts in Germany using HSQLDB

Rates are based on recent contracts and do not include FRATCH margin.

1000
750
500
250
Rate comparison chart
Daily rate avg. 815 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 800 €

The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.

Calculated based on our freelancers’ daily rates as of 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.

HSQLDB experts industry focus

See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.

  • Information Technology (100%)
  • Automotive (67%)
  • Banking and Finance (60%)
  • Insurance (53%)
  • Transportation (47%)
  • Telecommunication (47%)
  • Retail (40%)
  • Aerospace and Defense (33%)

Please note that freelancers can work across multiple industries, so percentages overlap.

About the technology

What HSQLDB is

HSQLDB, short for HyperSQL Database, is an open-source relational database system written in Java. It supports SQL and can run in embedded, server, or in-memory mode, making it useful for applications that need a compact database without a separate installation. Its small footprint suits development, testing, desktop software, and focused production workloads.

Where it is used

HSQLDB commonly appears inside Java applications, automated test suites, prototypes, and tools that need local relational storage. It can persist data to files or operate entirely in memory for fast, repeatable test runs.

  • Embedded databases for Java applications
  • Integration and unit testing with realistic SQL behavior
  • Lightweight desktop and internal business software
  • Prototypes and portable development environments

Ecosystem and tooling

HSQLDB works with JDBC, standard SQL workflows, and common Java build and test tools. Specialists often combine it with Maven or Gradle, JUnit, Spring-based applications, and migration tools such as Flyway or Liquibase. They also understand database modes, JDBC URLs, transaction handling, indexing, backup, and compatibility considerations.

When expertise helps

Companies bring in freelance HSQLDB professionals when an embedded database must behave predictably across development, testing, and deployment. Support is especially valuable during migrations from another relational database, test-suite redesigns, performance investigations, or the separation of in-memory and persistent data flows. In Germany, remote delivery is common, while on-site work can help teams coordinate closely during system changes.

  • Replacing fragile test doubles with database-backed tests
  • Diagnosing SQL, schema, locking, or persistence problems
  • Moving between HSQLDB and another relational database
  • Preparing reliable deployment and backup procedures

What strong professionals know

A strong specialist understands both HSQLDB internals and the Java application around it. They distinguish test convenience from production suitability, select the right operating mode, and check SQL behavior against the target database rather than assuming perfect portability. They also document connection configuration, schema ownership, transaction boundaries, and recovery procedures clearly.

How quality is judged

Good work produces repeatable tests, explicit schemas, safe migrations, and predictable behavior after restarts. Review query plans, indexing choices, transaction handling, and compatibility with the intended database environment. Ask candidates to explain how they would reproduce a failure, protect persistent data, and decide whether HSQLDB should remain embedded or move behind a database service. Clear documentation and practical Java integration experience matter as much as SQL knowledge.

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Frequently asked questions

What clients ask us most about HSQLDB — answered in short.

HSQLDB is used as an embedded, in-memory, or server-based relational database for Java applications. Common uses include automated tests, prototypes, desktop software, local tools, and focused production workloads that benefit from a small Java-native database.

HSQLDB is a Java-based relational database with broad SQL support and embedded or server modes. H2 is another common Java option, while SQLite is a native embedded database with a different runtime model; the right choice depends on SQL compatibility, deployment needs, language ecosystem, and production requirements.

An HSQLDB specialist should usually bring strong Java, JDBC, SQL, transaction, and schema-design skills. Experience with Maven or Gradle, JUnit, Spring applications, Flyway or Liquibase, database migration, query analysis, and automated testing is also valuable.

The HSQLDB requirement depends on the scope. A test configuration may need focused database and Java knowledge, while a migration, persistence redesign, or production deployment calls for experience with transactions, compatibility testing, backups, and failure recovery.

HSQLDB work is well suited to remote collaboration because configuration, schemas, tests, and query behavior can be reviewed in shared repositories and build environments. Teams in Germany should define documentation standards, working hours, security access, and whether German-language communication is needed for workshops or operational handovers.

HSQLDB may be a poor fit when a system needs large-scale distributed operation, extensive operational tooling, or database features tied to a different vendor. A qualified specialist should assess concurrency, durability, monitoring, backup, growth, and compatibility with the application’s long-term target environment.

Review whether the HSQLDB implementation has repeatable tests, clear schema ownership, safe migrations, explicit transaction boundaries, and reliable restart behavior. Ask for evidence that query performance was examined and that differences between HSQLDB and the intended production database were tested rather than assumed away.

Before starting with HSQLDB, clarify whether the database is embedded, in memory, or server-based and whether it is used for tests or production. Confirm the Java version, build tools, persistence expectations, target database, migration process, deployment environment, access requirements, and the team’s preferred language for collaboration.

The average hourly rate of freelancers in Germany who have used HSQLDB in their recent projects is 102 €, which corresponds to a daily rate of about 815 € based on an 8-hour working day.

Of the freelancers in Germany who have used HSQLDB in their recent projects, 90% hold at least a Bachelor's degree, 70% hold at least a Master's degree, and 20% hold a doctorate.

On average, freelancers in Germany who have used HSQLDB in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 1.5 years.

The most common languages among freelancers in Germany who have used HSQLDB in their recent projects are German (100%), English (93%), and Russian (13%).

The most common industries among freelancers in Germany who have used HSQLDB in their recent projects are Information Technology (100%), Automotive (67%), and Banking and Finance (60%).

The most common business areas among freelancers in Germany who have used HSQLDB in their recent projects are Information Technology (100%), Product Development (93%), and Quality Assurance (67%).

Main locations of FRATCH Experts, who have recently used HSQLDB

Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.

Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg

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