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DBMS > Ehcache vs. Fujitsu Enterprise Postgres vs. Hawkular Metrics vs. TimescaleDB

System Properties Comparison Ehcache vs. Fujitsu Enterprise Postgres vs. Hawkular Metrics vs. TimescaleDB

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelKey-value storeRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.23
Rank#68  Overall
#8  Key-value stores
Score0.37
Rank#281  Overall
#127  Relational DBMS
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websitewww.ehcache.orgwww.postgresql.fastware.comwww.hawkular.orgwww.timescale.com
Technical documentationwww.ehcache.org/­documentationwww.postgresql.fastware.com/­product-manualswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.timescale.com
DeveloperTerracotta Inc, owned by Software AGPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyCommunity supported by Red HatTimescale
Initial release200920142017
Current release3.10.0, March 2022Fujitsu Enterprise Postgres 14, January 20222.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJavaC
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, 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 indexesnoyesnoyes
SQL infoSupport of SQLnoyesnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJCacheADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functionsnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infoCache Event Listenersyesyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serverpartitioning by range, list and by hashSharding infobased on Cassandrayes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replicationselectable replication factor infobased on CassandraSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnofine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
EhcacheFujitsu Enterprise PostgresHawkular MetricsTimescaleDB
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
EhcacheFujitsu Enterprise PostgresHawkular MetricsTimescaleDB
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