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DBMS > Ignite vs. Interbase vs. Microsoft Access vs. Netezza vs. TigerGraph

System Properties Comparison Ignite vs. Interbase vs. Microsoft Access vs. Netezza vs. TigerGraph

Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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.Light-weight proven RDBMS infooriginally from BorlandMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Data warehouse and analytics appliance part of IBM PureSystemsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websiteignite.apache.orgwww.embarcadero.com/­products/­interbasewww.microsoft.com/­en-us/­microsoft-365/­accesswww.ibm.com/­products/­netezzawww.tigergraph.com
Technical documentationapacheignite.readme.io/­docsdocs.embarcadero.com/­products/­interbasedeveloper.microsoft.com/­en-us/­accessdocs.tigergraph.com
DeveloperApache Software FoundationEmbarcaderoMicrosoftIBM
Initial release20151984199220002017
Current releaseApache Ignite 2.6InterBase 2020, December 20191902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infoBundled with Microsoft Officecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetCC++C++
Server operating systemsLinux
OS X
Solaris
Windows
Android
iOS
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux infoincluded in applianceLinux
Data schemeyesyesyesyesyes
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.yesno infoexport as XML data possibleno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesyes infobut not compliant to any SQL standardyesSQL-like query language (GSQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Fortran
Java
Lua
Perl
Python
R
C++
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infoInterbase procedure and trigger languageyes infosince Access 2010 using the ACE-engineyesyes
Triggersyes (cache interceptors and events)yesyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Interbase Change ViewsnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infobut no files for transaction loggingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
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 implementationsfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003Users with fine-grained authorization conceptRole-based access control

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More resources
IgniteInterbaseMicrosoft AccessNetezza infoAlso called PureData System for Analytics by IBMTigerGraph
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