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DBMS > Apache Phoenix vs. Greenplum vs. HugeGraph vs. Kdb vs. Sadas Engine

System Properties Comparison Apache Phoenix vs. Greenplum vs. HugeGraph vs. Kdb vs. Sadas Engine

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGreenplum  Xexclude from comparisonHugeGraph  Xexclude from comparisonKdb  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAnalytic 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 DBMSHigh performance Time Series DBMSSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSRelational DBMSGraph DBMSTime Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score9.23
Rank#47  Overall
#30  Relational DBMS
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.03
Rank#379  Overall
#156  Relational DBMS
Websitephoenix.apache.orggreenplum.orggithub.com/­hugegraph
hugegraph.apache.org
kx.comwww.sadasengine.com
Technical documentationphoenix.apache.orgdocs.greenplum.orghugegraph.apache.org/­docscode.kx.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software FoundationPivotal Software Inc.BaiduKx Systems, a division of First Derivatives plcSADAS s.r.l.
Initial release2014200520182000 infokdb was released 2000, kdb+ in 20032006
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20197.0.0, September 20230.93.6, May 20188.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0commercial infofree 32-bit versioncommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaqC++
Server operating systemsLinux
Unix
Windows
LinuxLinux
macOS
Unix
Linux
OS X
Solaris
Windows
AIX
Linux
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyesyes
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.noyes infosince Version 4.2noyesno
Secondary indexesyesyesyes infoalso supports composite index and range indexyes infotable attribute 'grouped'yes
SQL infoSupport of SQLyesyesnoSQL-like query language (q)yes
APIs and other access methodsJDBCJDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
Java
Perl
Python
R
Groovy
Java
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyesasynchronous Gremlin script jobsuser defined functionsno
Triggersnoyesnoyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesvia hugegraph-sparkno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoedges in graphyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardUsers, roles and permissionsrights management via user accountsAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Apache PhoenixGreenplumHugeGraphKdbSadas Engine
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Apache PhoenixGreenplumHugeGraphKdbSadas Engine
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