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DBMS > CrateDB vs. IBM Db2 warehouse vs. OpenTSDB vs. SAP SQL Anywhere

System Properties Comparison CrateDB vs. IBM Db2 warehouse vs. OpenTSDB vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonOpenTSDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionDistributed Database based on LuceneCloud-based data warehousing serviceScalable Time Series DBMS based on HBaseRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitecratedb.comwww.ibm.com/­products/­db2/­warehouseopentsdb.netwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationcratedb.com/­docsopentsdb.net/­docs/­build/­html/­index.htmlhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperCrateIBMcurrently maintained by Yahoo and other contributorsSAP infoformerly Sybase
Initial release2013201420111992
Current release17, July 2015
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoLGPLcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
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 languageJavaJava
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supporthostedLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnumeric data for metrics, strings for tagsyes
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/export of XML data possiblenoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityyesnoyes
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
HTTP API
Telnet API
ADO.NET
HTTP API
JDBC
ODBC
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
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Erlang
Go
Java
Python
R
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions (Javascript)PL/SQL, SQL PLnoyes, in C/C++, Java, .Net or Perl
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelyesselectable replication factor infobased on HBaseSource-replica replication infoDatabase mirroring
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 infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
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 strategyACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
CrateDBIBM Db2 warehouse infoformerly named IBM dashDBOpenTSDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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
CrateDBIBM Db2 warehouse infoformerly named IBM dashDBOpenTSDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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