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

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

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonHive  Xexclude from comparisonPostGIS  Xexclude from comparisonQdrant  Xexclude from comparisonTimescaleDB  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 high-performance vector database with neural network or semantic-based matchingA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelKey-value storeRelational DBMSSpatial DBMSVector DBMSTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
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
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitewww.ehcache.orghive.apache.orgpostgis.netgithub.com/­qdrant/­qdrant
qdrant.tech
www.timescale.com
Technical documentationwww.ehcache.org/­documentationcwiki.apache.org/­confluence/­display/­Hive/­Homepostgis.net/­documentationqdrant.tech/­documentationdocs.timescale.com
DeveloperTerracotta Inc, owned by Software AGApache Software Foundation infoinitially developed by FacebookQdrantTimescale
Initial release20092012200520212017
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 Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaCRustC
Server operating systemsAll OS with a Java VMAll OS with a Java VMDocker
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesNumbers, Strings, Geo, Booleannumerics, 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.noyesnoyes
Secondary indexesnoyesyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJCacheJDBC
ODBC
Thrift
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJavaC++
Java
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
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 PostgreSQLShardingyes, 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 PostgreSQLCollection-level replicationSource-replica replication with hot standby and reads on replicas info
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 ConsistencyEventual Consistency, tunable 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 resourcenoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyesno
User concepts infoAccess controlnoAccess rights for users, groups and rolesyes infobased on PostgreSQLKey-based authenticationfine grained access rights according to SQL-standard

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More resources
EhcacheHivePostGISQdrantTimescaleDB
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