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

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

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonElasticsearch  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 widely adopted Java cache with tiered storage optionsA 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 metricA 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 modelKey-value storeSearch engineGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score135.35
Rank#7  Overall
#1  Search engines
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitewww.ehcache.orgwww.elastic.co/­elasticsearchjanusgraph.orgwww.microsoft.com/­en-us/­microsoft-365/­accesswww.ibm.com/­products/­netezza
Technical documentationwww.ehcache.org/­documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.janusgraph.orgdeveloper.microsoft.com/­en-us/­access
DeveloperTerracotta Inc, owned by Software AGElasticLinux Foundation; originally developed as Titan by AureliusMicrosoftIBM
Initial release20092010201719922000
Current release3.10.0, March 20228.6, January 20230.6.3, February 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoElastic LicenseOpen 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 languageJavaJavaJavaC++
Server operating systemsAll OS with a Java VMAll OS with a Java VMLinux
OS X
Unix
Windows
Windows infoNot a real database server, but making use of DLLsLinux infoincluded in appliance
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyes
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.nonono
Secondary indexesnoyes infoAll search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnoSQL-like query languagenoyes infobut not compliant to any SQL standardyes
APIs and other access methodsJCacheJava API
RESTful HTTP/JSON API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
OLE DB
Supported programming languagesJava.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
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 proceduresnoyesyesyes infosince Access 2010 using the ACE-engineyes
Triggersyes infoCache Event Listenersyes infoby using the 'percolation' featureyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServeryesyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryes infovia Faunus, a graph analytics enginenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenoACIDACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyes 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.yesMemcached and Redis integration
User concepts infoAccess controlnoUser 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
EhcacheElasticsearchJanusGraph infosuccessor of TitanMicrosoft AccessNetezza infoAlso called PureData System for Analytics by IBM
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