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DBMS > CrateDB vs. Greenplum vs. HugeGraph vs. jBASE

System Properties Comparison CrateDB vs. Greenplum vs. HugeGraph vs. jBASE

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonGreenplum  Xexclude from comparisonHugeGraph  Xexclude from comparisonjBASE  Xexclude from comparison
DescriptionDistributed Database based on LuceneAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A fast-speed and highly-scalable Graph DBMSA robust multi-value DBMS comprising development tools and middleware
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSGraph DBMSMultivalue DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#229  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score9.23
Rank#47  Overall
#30  Relational DBMS
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score1.43
Rank#160  Overall
#3  Multivalue DBMS
Websitecratedb.comgreenplum.orggithub.com/­hugegraph
hugegraph.apache.org
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationcratedb.com/­docsdocs.greenplum.orghugegraph.apache.org/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperCratePivotal Software Inc.BaiduRocket Software (formerly Zumasys)
Initial release2013200520181991
Current release7.0.0, September 20230.95.7
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial
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 languageJavaJava
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinuxLinux
macOS
Unix
AIX
Linux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesoptional
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.noyes infosince Version 4.2noyes
Secondary indexesyesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityyesnoEmbedded SQL for jBASE in BASIC
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based 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
C
Java
Perl
Python
R
Groovy
Java
Python
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresuser defined functions (Javascript)yesasynchronous Gremlin script jobsyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelSource-replica replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyes infoedges in graphno
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.nonoyesyes
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardUsers, roles and permissionsAccess rights can be defined down to the item level
More information provided by the system vendor
CrateDBGreenplumHugeGraphjBASE
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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