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DBMS > FeatureBase vs. HEAVY.AI vs. Ingres vs. Percona Server for MySQL vs. XTDB

System Properties Comparison FeatureBase vs. HEAVY.AI vs. Ingres vs. Percona Server for MySQL vs. XTDB

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIngres  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareWell established RDBMSEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score2.10
Rank#119  Overall
#57  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.featurebase.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.actian.com/­databases/­ingreswww.percona.com/­software/­mysql-database/­percona-servergithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.featurebase.comdocs.heavy.aidocs.actian.com/­ingreswww.percona.com/­downloads/­Percona-Server-LATESTwww.xtdb.com/­docs
DeveloperMolecula and Pilosa Open Source ContributorsHEAVY.AI, Inc.Actian CorporationPerconaJuxt Ltd.
Initial release201720161974 infooriginally developed at University Berkely in early 1970s20082019
Current release2022, May 20225.10, January 202211.2, May 20228.0.36-28, 20241.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoGPL version 2Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++ and CUDACC and C++Clojure
Server operating systemsLinux
macOS
LinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
LinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes, extensible-data-notation format
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.nonono infobut tools for importing/exporting data from/to XML-files availableyesno
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLSQL queriesyesyesyeslimited SQL, making use of Apache Calcite
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
Thrift
Vega
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
ODBC
HTTP REST
JDBC
Supported programming languagesJava
Python
All languages supporting JDBC/ODBC/Thrift
Python
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Clojure
Java
Server-side scripts infoStored proceduresnoyesyesno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinhorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationIngres ReplicatorMulti-source replication
Source-replica replication
XtraDB Cluster
yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
FeatureBaseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IngresPercona Server for MySQLXTDB infoformerly named Crux
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