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DBMS > HEAVY.AI vs. MaxDB vs. openGauss vs. RavenDB vs. Spark SQL

System Properties Comparison HEAVY.AI vs. MaxDB vs. openGauss vs. RavenDB vs. Spark SQL

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonopenGauss  Xexclude from comparisonRavenDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA robust and reliable RDBMS optimized to run all major SAP solutionsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
maxdb.sap.comgitee.com/­opengauss
opengauss.org
ravendb.netspark.apache.org/­sql
Technical documentationdocs.heavy.aimaxdb.sap.com/­documentationdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
ravendb.net/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperHEAVY.AI, Inc.SAP, acquired from Software AG (Adabas-D) in 1997Huawei and openGauss communityHibernating RhinosApache Software Foundation
Initial release20161984201920102014
Current release5.10, January 20227.9.10.12, February 20243.0, March 20225.4, July 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercial infoLimited community edition freeOpen SourceOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache 2.0
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 languageC++ and CUDAC++C, C++, JavaC#Scala
Server operating systemsLinuxAIX
HP-UX
Linux
Solaris
Windows
LinuxLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nononono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLyesyesANSI SQL 2011SQL-like query language (RQL)SQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
WebDAV
JDBC
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.Net
C#
Java
Perl
PHP
Python
C
C++
Java
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesyesyesno
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnonehorizontal partitioning (by range, list and hash)Shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationSource-replica replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID, Cluster-wide transaction availableno
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.yesnonono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardAuthorization levels configured per client per databaseno

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022MaxDB infoformerly named Adabas-DopenGaussRavenDBSpark SQL
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