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DBMS > AnzoGraph DB vs. Ehcache vs. Hypertable vs. TimescaleDB

System Properties Comparison AnzoGraph DB vs. Ehcache vs. Hypertable vs. TimescaleDB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonEhcache  Xexclude from comparisonHypertable  Xexclude from comparisonTimescaleDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA widely adopted Java cache with tiered storage optionsAn open source BigTable implementation based on distributed file systems such as HadoopA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelGraph DBMS
RDF store
Key-value storeWide column storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score4.64
Rank#68  Overall
#8  Key-value stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitecambridgesemantics.com/­anzographwww.ehcache.orgwww.timescale.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.ehcache.org/­documentationdocs.timescale.com
DeveloperCambridge SemanticsTerracotta Inc, owned by Software AGHypertable Inc.Timescale
Initial release2018200920092017
Current release2.3, January 20213.10.0, March 20220.9.8.11, March 20162.15.0, May 2024
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0
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 languageJavaC++C
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonoyes
Secondary indexesnonorestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nonoyes infofull PostgreSQL SQL syntax
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JCacheC++ API
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Java
Python
JavaC++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infoby using Terracotta ServerShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryes infoby using Terracotta Serverselectable replication factor on file system levelSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourcenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users and rolesnonofine grained access rights according to SQL-standard

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More resources
AnzoGraph DBEhcacheHypertableTimescaleDB
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