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DBMS > H2 vs. QuestDB

System Properties Comparison H2 vs. QuestDB

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A high performance open source SQL database for time series data
Primary database modelRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.32
Rank#49  Overall
#31  Relational DBMS
Score2.83
Rank#95  Overall
#6  Time Series DBMS
Websitewww.h2database.comquestdb.io
Technical documentationwww.h2database.com/­html/­main.htmlquestdb.io/­docs
DeveloperThomas MuellerQuestDB Technology Inc
Initial release20052014
Current release2.2.220, July 2023
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava (Zero-GC), C++, Rust
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
Data schemeyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesno
SQL infoSupport of SQLyesSQL with time-series extensions
APIs and other access methodsJDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesJavaC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped files
User concepts infoAccess controlfine grained access rights according to SQL-standard
More information provided by the system vendor
H2QuestDB
News

Time-series and analytical databases walk into a bar
28 October 2024

Monitoring QuestDB with simple curl commands
24 October 2024

QuestDB and Raspberry Pi 5 benchmark, a pocket-sized powerhouse
22 October 2024

The future of fast databases: Lessons from a decade of QuestDB
10 October 2024

QuestDB 8.1.2 - Tabs & Balance
8 October 2024

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More resources
H2QuestDB
Recent citations in the news

QuestDB snares $12M Series A with hosted version coming soon
3 November 2021, TechCrunch

SQL Extensions for Time-Series Data in QuestDB
11 January 2021, Towards Data Science

QuestDB nabs $2.3M seed to build open source time series database
2 July 2020, TechCrunch

MindsDB Platform Now Features Over 70 Integrations
4 November 2022, Datanami

MindsDB is now the leading and fastest growing applied ML platform in the world
3 November 2022, PR Newswire

provided by Google News



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