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DBMS > MaxDB vs. openGauss vs. RavenDB vs. Spark SQL vs. StarRocks

System Properties Comparison MaxDB vs. openGauss vs. RavenDB vs. Spark SQL vs. StarRocks

Editorial information provided by DB-Engines
NameMaxDB infoformerly named Adabas-D  Xexclude from comparisonopenGauss  Xexclude from comparisonRavenDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionA 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 processingAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitemaxdb.sap.comgitee.com/­opengauss
opengauss.org
ravendb.netspark.apache.org/­sqlwww.starrocks.io
Technical documentationmaxdb.sap.com/­documentationdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
ravendb.net/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperSAP, acquired from Software AG (Adabas-D) in 1997Huawei and openGauss communityHibernating RhinosApache Software FoundationThe Linux Foundation infosince Feb 2023
Initial release19842019201020142020
Current release7.9.10.12, February 20243.0, March 20225.4, July 20223.5.0 ( 2.13), September 20233.3, June 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen SourceOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache 2.0Open Source infoApache Version 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++C, C++, JavaC#ScalaC++, Java
Server operating systemsAIX
HP-UX
Linux
Solaris
Windows
LinuxLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Linux
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 indexesyesyesyesnoyes
SQL infoSupport of SQLyesANSI SQL 2011SQL-like query language (RQL)SQL-like DML and DDL statementsyes
APIs and other access methodsADO.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
JDBC
MySQL protocol
Supported programming languages.Net
C#
Java
Perl
PHP
Python
C
C++
Java
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
Java
Server-side scripts infoStored proceduresyesyesyesnouser defined functions
Triggersyesyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash)Shardingyes, utilizing Spark Corehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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.Immediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, Cluster-wide transaction availablenono
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.nononono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardAuthorization levels configured per client per databasenoRole based access control and fine grained access rights

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More resources
MaxDB infoformerly named Adabas-DopenGaussRavenDBSpark SQLStarRocks
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