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DBMS > Elasticsearch vs. Interbase vs. JanusGraph vs. Microsoft Access vs. Netezza

System Properties Comparison Elasticsearch vs. Interbase vs. JanusGraph vs. Microsoft Access vs. Netezza

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonInterbase  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricLight-weight proven RDBMS infooriginally from BorlandA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Microsoft 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 PureSystems
Primary database modelSearch engineRelational DBMSGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitewww.elastic.co/­elasticsearchwww.embarcadero.com/­products/­interbasejanusgraph.orgwww.microsoft.com/­en-us/­microsoft-365/­accesswww.ibm.com/­products/­netezza
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.embarcadero.com/­products/­interbasedocs.janusgraph.orgdeveloper.microsoft.com/­en-us/­access
DeveloperElasticEmbarcaderoLinux Foundation; originally developed as Titan by AureliusMicrosoftIBM
Initial release20101984201719922000
Current release8.6, January 2023InterBase 2020, December 20190.6.3, February 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen Source infoApache 2.0commercial infoBundled with Microsoft Officecommercial
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 languageJavaCJavaC++
Server operating systemsAll OS with a Java VMAndroid
iOS
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Windows infoNot a real database server, but making use of DLLsLinux infoincluded in appliance
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyesyes
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.nono infoexport as XML data possibleno
Secondary indexesyes infoAll search fields are automatically indexedyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesnoyes infobut not compliant to any SQL standardyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
OLE DB
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Clojure
Java
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyesyes infoInterbase procedure and trigger languageyesyes infosince Access 2010 using the ACE-engineyes
Triggersyes infoby using the 'percolation' featureyesyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesInterbase Change ViewsyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornoyes infovia Faunus, a graph analytics enginenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Serverno infoa simple user-level security was built in till version Access 2003Users with fine-grained authorization concept

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More resources
ElasticsearchInterbaseJanusGraph infosuccessor of TitanMicrosoft AccessNetezza infoAlso called PureData System for Analytics by IBM
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