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DBMS > BigchainDB vs. Ehcache vs. FileMaker vs. GeoSpock vs. SingleStore

System Properties Comparison BigchainDB vs. Ehcache vs. FileMaker vs. GeoSpock vs. SingleStore

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonEhcache  Xexclude from comparisonFileMaker  Xexclude from comparisonGeoSpock  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA widely adopted Java cache with tiered storage optionsFileMaker is a cross-platform RDBMS that includes a GUI frontend.Spatial and temporal data processing engine for extreme data scaleMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelDocument storeKey-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#216  Overall
#36  Document stores
Score4.79
Rank#66  Overall
#8  Key-value stores
Score45.20
Rank#20  Overall
#14  Relational DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitewww.bigchaindb.comwww.ehcache.orgwww.claris.com/­filemakergeospock.comwww.singlestore.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.ehcache.org/­documentationwww.claris.com/­resources/­documentationdocs.singlestore.com
DeveloperTerracotta Inc, owned by Software AGClaris infoa subsidiary of AppleGeoSpockSingleStore Inc.
Initial release2016200919832013
Current release3.10.0, March 202219.4.1, November 20212.0, September 20198.5, January 2024
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache Version 2; commercial licenses availablecommercialcommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJavaJava, JavascriptC++, Go
Server operating systemsLinuxAll OS with a Java VMiOS infoclient part only
Linux
OS X
Windows
hostedLinux info64 bit version required
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonoyes infoA http query request can return the data in XML formatnono
Secondary indexesnoyestemporal, categoricalyes
SQL infoSupport of SQLnonoyes infovia pluginsANSI SQL for query only (using Presto)yes infobut no triggers and foreign keys
APIs and other access methodsCLI Client
RESTful HTTP API
JCacheFilemaker WebDirect
JDBC
ODBC
JDBCCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
JavaPHPBash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesnoyes
Triggersyes infoCache Event Listenersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta ServernoneAutomatic shardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoby using Terracotta ServerSource-replica replication, warm standby infosince Version 14Source-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByes infousing a tiered cache-storage approachyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyesnosimple rights management via user accounts and connection to external directory servicesAccess rights for users can be defined per tableFine grained access control via users, groups and roles

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More resources
BigchainDBEhcacheFileMakerGeoSpockSingleStore infoformer name was MemSQL
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