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DBMS > H2 vs. Prometheus vs. XTDB vs. YugabyteDB

System Properties Comparison H2 vs. Prometheus vs. XTDB vs. YugabyteDB

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonPrometheus  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Open-source Time Series DBMS and monitoring systemA general purpose database with bitemporal SQL and Datalog and graph queriesHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSTime Series DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.22
Rank#50  Overall
#32  Relational DBMS
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Score0.09
Rank#351  Overall
#47  Document stores
Score3.11
Rank#99  Overall
#51  Relational DBMS
Websitewww.h2database.comprometheus.iogithub.com/­xtdb/­xtdb
www.xtdb.com
www.yugabyte.com
Technical documentationwww.h2database.com/­html/­main.htmlprometheus.io/­docswww.xtdb.com/­docsdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperThomas MuellerJuxt Ltd.Yugabyte Inc.
Initial release2005201520192017
Current release2.2.220, July 20231.19, September 20212.19, September 2023
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0Open Source infoMIT LicenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageJavaGoClojureC and C++
Server operating systemsAll OS with a Java VMLinux
Windows
All OS with a Java 8 (and higher) VM
Linux
Linux
OS X
Data schemeyesyesschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesNumeric data onlyyes, extensible-data-notation formatyes
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 infoImport of XML data possiblenono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnolimited SQL, making use of Apache Calciteyes, PostgreSQL compatible
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIHTTP REST
JDBC
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesJava.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Clojure
Java
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsnonoyes infosql, plpgsql, C
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infoby Federationyes, each node contains all dataBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDByes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes
More information provided by the system vendor
H2PrometheusXTDB infoformerly named CruxYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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More resources
H2PrometheusXTDB infoformerly named CruxYugabyteDB
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