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DBMS > EJDB vs. FatDB vs. Splice Machine vs. Sqrrl

System Properties Comparison EJDB vs. FatDB vs. Splice Machine vs. Sqrrl

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonFatDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonSqrrl  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A .NET NoSQL DBMS that can integrate with and extend SQL Server.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument storeDocument store
Key-value store
Relational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#295  Overall
#42  Document stores
Score0.94
Rank#211  Overall
#99  Relational DBMS
Websiteejdb.orgsplicemachine.comsqrrl.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddoc.splicemachine.com
DeveloperSoftmotionsFatCloudSplice MachineAmazon infooriginally Sqrrl Data, Inc.
Initial release2012201220142012
Current release3.1, March 2021
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC#JavaJava
Server operating systemsserver-lessWindowsLinux
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnono infoVia inetgration in SQL Serveryesno
APIs and other access methodsin-process shared library.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
Native Spark Datasource
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyes infovia applicationsyes infoJavano
Triggersnoyes infovia applicationsyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShared Nothhing Auto-Sharding, Columnar PartitioningSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorMulti-source replication
Source-replica replication
selectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesYes, via Full Spark Integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnono infoCan implement custom security layer via applicationsAccess rights for users, groups and roles according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
More information provided by the system vendor
EJDBFatDBSplice MachineSqrrl
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EJDBFatDBSplice MachineSqrrl
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