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DBMS > CrateDB vs. SAP HANA vs. TimesTen vs. VelocityDB

System Properties Comparison CrateDB vs. SAP HANA vs. TimesTen vs. VelocityDB

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonSAP HANA  Xexclude from comparisonTimesTen  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionDistributed Database based on LuceneIn-memory, column based data store. Available as appliance or cloud serviceIn-Memory RDBMS compatible to OracleA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitecratedb.comwww.sap.com/­products/­hana.htmlwww.oracle.com/­database/­technologies/­related/­timesten.htmlvelocitydb.com
Technical documentationcratedb.com/­docshelp.sap.com/­hanadocs.oracle.com/­database/­timesten-18.1velocitydb.com/­UserGuide
DeveloperCrateSAPOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005VelocityDB Inc
Initial release2013201019982011
Current release2.0 SPS07 (April 4, 2023), April 202311 Release 2 (11.2.2.8.0)7.x
License infoCommercial or Open SourceOpen Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenono infoalso available as a cloud based servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageJavaC#
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAppliance or cloud-serviceAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Any that supports .NET
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityyesyesno
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
.Net
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
C
C++
Java
PL/SQL
.Net
Server-side scripts infoStored proceduresuser defined functions (Javascript)SQLScript, RPL/SQLno
TriggersnoyesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingyesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlrights management via user accountsyesfine grained access rights according to SQL-standardBased on Windows Authentication
More information provided by the system vendor
CrateDBSAP HANATimesTenVelocityDB
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more

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More resources
CrateDBSAP HANATimesTenVelocityDB
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