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DBMS > CrateDB vs. Derby vs. OushuDB vs. TigerGraph

System Properties Comparison CrateDB vs. Derby vs. OushuDB vs. TigerGraph

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonOushuDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionDistributed Database based on LuceneFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSRelational DBMSGraph 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
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score0.04
Rank#363  Overall
#154  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitecratedb.comdb.apache.org/­derbywww.oushu.com/­product/­oushuDBwww.tigergraph.com
Technical documentationcratedb.com/­docsdb.apache.org/­derby/­manuals/­index.htmlwww.oushu.com/­documentationdocs.tigergraph.com
DeveloperCrateApache Software FoundationOushu
Initial release201319972017
Current release10.17.1.0, November 20234.0.1, August 2020
License infoCommercial or Open SourceOpen SourceOpen Source infoApache version 2commercialcommercial
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.
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 languageJavaJavaC++
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAll OS with a Java VMLinuxLinux
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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityyesFull-featured ANSI SQL supportSQL-like query language (GSQL)
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JDBCJDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
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
JavaC
C++
C++
Java
Server-side scripts infoStored proceduresuser defined functions (Javascript)Java Stored Proceduresyesyes
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoHadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphs
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 persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardKerberos, SSL and role based accessRole-based access control
More information provided by the system vendor
CrateDBDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBOushuDBTigerGraph
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
CrateDBDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBOushuDBTigerGraph
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