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DBMS > Databend vs. IBM Db2 Event Store vs. IBM Db2 warehouse vs. SAP SQL Anywhere vs. StarRocks

System Properties Comparison Databend vs. IBM Db2 Event Store vs. IBM Db2 warehouse vs. SAP SQL Anywhere vs. StarRocks

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityDistributed Event Store optimized for Internet of Things use casesCloud-based data warehousing serviceRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsAn 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 DBMSEvent Store
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.ibm.com/­products/­db2-event-storewww.ibm.com/­products/­db2/­warehousewww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.starrocks.io
Technical documentationdocs.databend.comwww.ibm.com/­docs/­en/­db2-event-storehelp.sap.com/­docs/­SAP_SQL_Anywheredocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperDatabend LabsIBMIBMSAP infoformerly SybaseThe Linux Foundation infosince Feb 2023
Initial release20212017201419922020
Current release1.0.59, April 20232.017, July 20152.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree developer edition availablecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC and C++C++, Java
Server operating systemshosted
Linux
macOS
Linux infoLinux, macOS, Windows for the developer additionhostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoImport/export of XML data possibleyesno
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLyesyes infothrough the embedded Spark runtimeyesyesyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
ADO.NET
HTTP API
JDBC
ODBC
JDBC
MySQL protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Server-side scripts infoStored proceduresnoyesPL/SQL, SQL PLyes, in C/C++, Java, .Net or Perluser defined functions
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnonehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive-active shard replicationyesSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRole based access control and fine grained access rights

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More resources
DatabendIBM Db2 Event StoreIBM Db2 warehouse infoformerly named IBM dashDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereStarRocks
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