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DBMS > Ehcache vs. Faircom EDGE vs. Fauna vs. HEAVY.AI vs. Tkrzw

System Properties Comparison Ehcache vs. Faircom EDGE vs. Fauna vs. HEAVY.AI vs. Tkrzw

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelKey-value storeKey-value store
Relational DBMS
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.ehcache.orgwww.faircom.com/­products/­faircom-edgefauna.comgithub.com/­heavyai/­heavydb
www.heavy.ai
dbmx.net/­tkrzw
Technical documentationwww.ehcache.org/­documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.fauna.comdocs.heavy.ai
DeveloperTerracotta Inc, owned by Software AGFairCom CorporationFauna, Inc.HEAVY.AI, Inc.Mikio Hirabayashi
Initial release20091979201420162020
Current release3.10.0, March 2022V3, October 20205.10, January 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial infoRestricted, free version availablecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaANSI C, C++ScalaC++ and CUDAC++
Server operating systemsAll OS with a Java VMAndroid
Linux infoARM, x86
Raspbian
Windows
hostedLinuxLinux
macOS
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesnoyesno
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.noyesnonono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyes infoANSI SQL queriesnoyesno
APIs and other access methodsJCacheADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Thrift
Vega
Supported programming languagesJavaC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++user defined functionsnono
Triggersyes infoCache Event Listenersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerFile partitioning infoCustomizable business rules for partitioninghorizontal partitioning infoconsistent hashingSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serveryes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infowhen using SQLyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyesyes
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.yesyesnoyesyes infousing specific database classes
User concepts infoAccess controlnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Identity management, authentication, and access controlfine grained access rights according to SQL-standardno

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More resources
EhcacheFaircom EDGE infoformerly c-treeEDGEFauna infopreviously named FaunaDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Tkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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