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DBMS > Fauna vs. GigaSpaces vs. HEAVY.AI vs. Spark SQL vs. STSdb

System Properties Comparison Fauna vs. GigaSpaces vs. HEAVY.AI vs. Spark SQL vs. STSdb

Editorial information provided by DB-Engines
NameFauna infopreviously named FaunaDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionFauna 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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRelational DBMSKey-value store
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitefauna.comwww.gigaspaces.comgithub.com/­heavyai/­heavydb
www.heavy.ai
spark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.fauna.comdocs.gigaspaces.com/­latest/­landing.htmldocs.heavy.aispark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFauna, Inc.Gigaspaces TechnologiesHEAVY.AI, Inc.Apache Software FoundationSTS Soft SC
Initial release20142000201620142011
Current release15.5, September 20205.10, January 20223.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJava, C++, .NetC++ and CUDAScalaC#
Server operating systemshostedLinux
macOS
Solaris
Windows
LinuxLinux
OS X
Windows
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes infoprimitive types and user defined types (classes)
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.nono infoXML can be used for describing objects metadatanono
Secondary indexesyesyesnonono
SQL infoSupport of SQLnoSQL-99 for query and DML statementsyesSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP APIGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
.NET Client API
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
C++
Java
Python
Scala
All languages supporting JDBC/ODBC/Thrift
Python
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresuser defined functionsyesnonono
Triggersnoyes, event driven architecturenonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingShardingSharding infoRound robinyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlIdentity management, authentication, and access controlRole-based access controlfine grained access rights according to SQL-standardnono

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More resources
Fauna infopreviously named FaunaDBGigaSpacesHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Spark SQLSTSdb
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