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DBMS > Databend vs. H2 vs. HEAVY.AI vs. HugeGraph vs. VictoriaMetrics

System Properties Comparison Databend vs. H2 vs. HEAVY.AI vs. HugeGraph vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonH2  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHugeGraph  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA fast-speed and highly-scalable Graph DBMSA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMSTime Series DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.h2database.comgithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­hugegraph
hugegraph.apache.org
victoriametrics.com
Technical documentationdocs.databend.comwww.h2database.com/­html/­main.htmldocs.heavy.aihugegraph.apache.org/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperDatabend LabsThomas MuellerHEAVY.AI, Inc.BaiduVictoriaMetrics
Initial release20212005201620182018
Current release1.0.59, April 20232.2.220, July 20235.10, January 20220.9v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustJavaC++ and CUDAJavaGo
Server operating systemshosted
Linux
macOS
All OS with a Java VMLinuxLinux
macOS
Unix
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonononono
Secondary indexesnoyesnoyes infoalso supports composite index and range index
SQL infoSupport of SQLyesyesyesnono
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
Thrift
Vega
Java API
RESTful HTTP API
TinkerPop Gremlin
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
JavaAll languages supporting JDBC/ODBC/Thrift
Python
Groovy
Java
Python
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functionsnoasynchronous Gremlin script jobsno
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoRound robinyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers, roles and permissions

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More resources
DatabendH2HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HugeGraphVictoriaMetrics
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