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DBMS > GridGain vs. Kdb vs. LevelDB vs. Postgres-XL

System Properties Comparison GridGain vs. Kdb vs. LevelDB vs. Postgres-XL

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonKdb  Xexclude from comparisonLevelDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteHigh performance Time Series DBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelKey-value store
Relational DBMS
Time Series DBMS
Vector DBMS
Key-value storeRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitewww.gridgain.comkx.comgithub.com/­google/­leveldbwww.postgres-xl.org
Technical documentationwww.gridgain.com/­docs/­index.htmlcode.kx.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.postgres-xl.org/­documentation
DeveloperGridGain Systems, Inc.Kx Systems, a division of First Derivatives plcGoogle
Initial release20072000 infokdb was released 2000, kdb+ in 200320112014 infosince 2012, originally named StormDB
Current releaseGridGain 8.5.13.6, May 20181.23, February 202110 R1, October 2018
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versionOpen Source infoBSDOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetqC++C
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
Linux
macOS
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesyesnoyes infoXML type, but no XML query functionality
Secondary indexesyesyes infotable attribute 'grouped'noyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language (q)noyes infodistributed, parallel query execution
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)user defined functionsnouser defined functions
Triggersyes (cache interceptors and events)yes infowith viewsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsrights management via user accountsnofine grained access rights according to SQL-standard
More information provided by the system vendor
GridGainKdbLevelDBPostgres-XL
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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GridGainKdbLevelDBPostgres-XL
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