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DBMS > Ignite vs. Postgres-XL vs. Raima Database Manager vs. TigerGraph

System Properties Comparison Ignite vs. Postgres-XL vs. Raima Database Manager vs. TigerGraph

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresRDBMS with a small footprint, either embedded into an application or used as a database serverA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMS
Time Series DBMS
Graph DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.46
Rank#259  Overall
#120  Relational DBMS
#22  Time Series DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websiteignite.apache.orgwww.postgres-xl.orgraima.comwww.tigergraph.com
Technical documentationapacheignite.readme.io/­docswww.postgres-xl.org/­documentationdocs.raima.comdocs.tigergraph.com
DeveloperApache Software FoundationRaima Inc.
Initial release20152014 infosince 2012, originally named StormDB19842017
Current releaseApache Ignite 2.610 R1, October 201815, June 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMozilla public licensecommercialcommercial
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.
Implementation languageC++, Java, .NetCCC++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS
Android
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Linux
Data schemeyesyesyesyes
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.yesyes infoXML type, but no XML query functionalityno infoExporting/Importing of XML structures possibleno
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infodistributed, parallel query executionyesSQL-like query language (GSQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Objective-C
PL/SQL
C++
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)user defined functionsyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationyes
Triggersyes (cache interceptors and events)yesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.yesnoyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardnoRole-based access control
More information provided by the system vendor
IgnitePostgres-XLRaima Database Manager infoformerly named db_VistaTigerGraph
Specific characteristicsRaima Database Manager (RDM) is an embedded time-series database optimized to run...
» more
Competitive advantagesDecreased time-to-market Industry-standard interfaces & tools for making your job...
» more
Typical application scenariosTypical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» more
Key customersInfor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsOver 30 000 applications developers worldwide have field-tested RDM products More...
» more
Licensing and pricing modelsJust as the technical aspects of Raima Database Manager are flexible, so are the...
» more
News

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29 February 2024

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8 October 2020

Raima Joins BlackBerry QNX Channel Partner Program to Deliver Safety-Critical and Secure Software Solutions
1 October 2020

Raima Expands Their Reseller Network in Asia
19 May 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
IgnitePostgres-XLRaima Database Manager infoformerly named db_VistaTigerGraph
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