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DBMS > Datomic vs. GreptimeDB vs. IBM Db2 warehouse vs. TerminusDB vs. VelocityDB

System Properties Comparison Datomic vs. GreptimeDB vs. IBM Db2 warehouse vs. TerminusDB vs. VelocityDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGreptimeDB  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn open source Time Series DBMS built for increased scalability, high performance and efficiencyCloud-based data warehousing serviceScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSTime Series DBMSRelational DBMSGraph DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitewww.datomic.comgreptime.comwww.ibm.com/­products/­db2/­warehouseterminusdb.comvelocitydb.com
Technical documentationdocs.datomic.comdocs.greptime.comterminusdb.github.io/­terminusdb/­#velocitydb.com/­UserGuide
DeveloperCognitectGreptime Inc.IBMDataChemist Ltd.VelocityDB Inc
Initial release20122022201420182011
Current release1.0.6735, June 202311.0.0, January 20237.x
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2.0commercialOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureRustProlog, RustC#
Server operating systemsAll OS with a Java VMAndroid
Docker
FreeBSD
Linux
macOS
Windows
hostedLinuxAny that supports .NET
Data schemeyesschema-free, schema definition possibleyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonono infoImport/export of XML data possiblenono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesyesSQL-like query language (WOQL)no
APIs and other access methodsRESTful HTTP APIgRPC
HTTP API
JDBC
.NET Client API
JDBC
ODBC
OLE DB
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
.Net
Supported programming languagesClojure
Java
C++
Erlang
Go
Java
JavaScript
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
JavaScript
Python
.Net
Server-side scripts infoStored proceduresyes infoTransaction FunctionsPythonPL/SQL, SQL PLyesno
TriggersBy using transaction functionsyesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingGraph PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlnoSimple rights management via user accountsfine grained access rights according to SQL-standardRole-based access controlBased on Windows Authentication
More information provided by the system vendor
DatomicGreptimeDBIBM Db2 warehouse infoformerly named IBM dashDBTerminusDB infoformer name was DataChemistVelocityDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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More resources
DatomicGreptimeDBIBM Db2 warehouse infoformerly named IBM dashDBTerminusDB infoformer name was DataChemistVelocityDB
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