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DBMS > AlaSQL vs. Fauna vs. jBASE vs. Sequoiadb vs. Splice Machine

System Properties Comparison AlaSQL vs. Fauna vs. jBASE vs. Sequoiadb vs. Splice Machine

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonjBASE  Xexclude from comparisonSequoiadb  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionJavaScript DBMS libraryFauna 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 robust multi-value DBMS comprising development tools and middlewareNewSQL database with distributed OLTP and SQLOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Relational DBMS
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Multivalue DBMSDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitealasql.orgfauna.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.sequoiadb.comsplicemachine.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.fauna.comdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9www.sequoiadb.com/­en/­index.php?m=Files&a=indexsplicemachine.com/­how-it-works
DeveloperAndrey Gershun & Mathias R. WulffFauna, Inc.Rocket Software (formerly Zumasys)Sequoiadb Ltd.Splice Machine
Initial release20142014199120132014
Current release5.73.1, March 2021
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialcommercialOpen Source infoServer: AGPL; Client: Apache V2Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptScalaC++Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedAIX
Linux
Windows
LinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenonooptionalyes infooid, date, timestamp, binary, regexyes
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.nonoyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noEmbedded SQL for jBASE in BASICSQL-like query languageyes
APIs and other access methodsJavaScript APIRESTful HTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
proprietary protocol using JSONJDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaScriptC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
Basic
Jabbascript
Java
.Net
C++
Java
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functionsyesJavaScriptyes infoJava
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoconsistent hashingShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesnoyes
User concepts infoAccess controlnoIdentity management, authentication, and access controlAccess rights can be defined down to the item levelsimple password-based access controlAccess rights for users, groups and roles according to SQL-standard

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More resources
AlaSQLFauna infopreviously named FaunaDBjBASESequoiadbSplice Machine
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