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DBMS > Ehcache vs. Fauna vs. Google Cloud Bigtable vs. Splice Machine vs. Transbase

System Properties Comparison Ehcache vs. Fauna vs. Google Cloud Bigtable vs. Splice Machine vs. Transbase

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonSplice Machine  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsFauna 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.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelKey-value storeDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Key-value store
Wide column store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitewww.ehcache.orgfauna.comcloud.google.com/­bigtablesplicemachine.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationwww.ehcache.org/­documentationdocs.fauna.comcloud.google.com/­bigtable/­docssplicemachine.com/­how-it-workswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperTerracotta Inc, owned by Software AGFauna, Inc.GoogleSplice MachineTransaction Software GmbH
Initial release20092014201520141987
Current release3.10.0, March 20223.1, March 2021Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialOpen Source infoAGPL 3.0, commercial license availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaJavaC and C++
Server operating systemsAll OS with a Java VMhostedhostedLinux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnonoyesyes
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.nononono
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnononoyesyes
APIs and other access methodsJCacheRESTful HTTP APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
Native Spark Datasource
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesJavaC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsnoyes infoJavayes
Triggersyes infoCache Event Listenersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serverhorizontal partitioning infoconsistent hashingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replicationInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDAtomic single-row operationsACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
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.yesnonoyesno
User concepts infoAccess controlnoIdentity management, authentication, and access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
EhcacheFauna infopreviously named FaunaDBGoogle Cloud BigtableSplice MachineTransbase
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