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DBMS > Ehcache vs. TimescaleDB vs. Trino vs. YottaDB

System Properties Comparison Ehcache vs. TimescaleDB vs. Trino vs. YottaDB

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTrino  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLA fast and solid embedded Key-value store
Primary database modelKey-value storeTime Series DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMSDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
Relational 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
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score4.99
Rank#65  Overall
#36  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.ehcache.orgwww.timescale.comtrino.ioyottadb.com
Technical documentationwww.ehcache.org/­documentationdocs.timescale.comtrino.io/­broadcast
trino.io/­docs/­current
yottadb.com/­resources/­documentation
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperTerracotta Inc, owned by Software AGTimescaleTrino Software FoundationYottaDB, LLC
Initial release200920172012 info2020 rebranded from PrestoSQL2001
Current release3.10.0, March 20222.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoAGPL 3.0
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.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageJavaCJavaC
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Linux
macOS infofor devlopment
Docker
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyesno
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.noyesnono
Secondary indexesnoyesdepending on connected data-sourceno
SQL infoSupport of SQLnoyes infofull PostgreSQL SQL syntaxyesby using the Octo plugin
APIs and other access methodsJCacheADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
RESTful HTTP API
Trino CLI
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesJava.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Go
Java
JavaScript (Node.js)
Python
R
Ruby
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellyes, depending on connected data-source
Triggersyes infoCache Event Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serveryes, across time and space (hash partitioning) attributesdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replication with hot standby and reads on replicas infodepending on connected data-sourceyes
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 Consistencydepending on connected data-source
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDdepending on connected data-sourceoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardSQL standard access controlUsers and groups based on OS-security mechanisms
More information provided by the system vendor
EhcacheTimescaleDBTrinoYottaDB
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
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More resources
EhcacheTimescaleDBTrinoYottaDB
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