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DBMS > Ehcache vs. Hive vs. PostGIS vs. TimescaleDB vs. YottaDB

System Properties Comparison Ehcache vs. Hive vs. PostGIS vs. TimescaleDB vs. YottaDB

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonHive  Xexclude from comparisonPostGIS  Xexclude from comparisonTimescaleDB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsdata warehouse software for querying and managing large distributed datasets, built on HadoopSpatial extension of PostgreSQLA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA fast and solid embedded Key-value store
Primary database modelKey-value storeRelational DBMSSpatial DBMSTime Series DBMSKey-value store
Secondary database modelsRelational DBMSRelational DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.ehcache.orghive.apache.orgpostgis.netwww.timescale.comyottadb.com
Technical documentationwww.ehcache.org/­documentationcwiki.apache.org/­confluence/­display/­Hive/­Homepostgis.net/­documentationdocs.timescale.comyottadb.com/­resources/­documentation
DeveloperTerracotta Inc, owned by Software AGApache Software Foundation infoinitially developed by FacebookTimescaleYottaDB, LLC
Initial release20092012200520172001
Current release3.10.0, March 20223.1.3, April 20223.4.2, February 20242.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2Open Source infoGPL v2.0Open Source infoApache 2.0Open Source infoAGPL 3.0
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 languageJavaJavaCCC
Server operating systemsAll OS with a Java VMAll OS with a Java VMLinux
OS X
Windows
Docker
Linux
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesno
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.noyesyesno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesyes infofull PostgreSQL SQL syntaxby using the Octo plugin
APIs and other access methodsJCacheJDBC
ODBC
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesJavaC++
Java
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceuser defined functionsuser 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 Listenersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingyes infobased on PostgreSQLyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serverselectable replication factoryes infobased on PostgreSQLSource-replica replication with hot standby and reads on replicas infoyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlnoAccess rights for users, groups and rolesyes infobased on PostgreSQLfine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
EhcacheHivePostGISTimescaleDBYottaDB
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