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DBMS > Databend vs. GridDB vs. HyperSQL vs. SAP SQL Anywhere vs. SQream DB

System Properties Comparison Databend vs. GridDB vs. HyperSQL vs. SAP SQL Anywhere vs. SQream DB

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGridDB  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSQream DB  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 complexityScalable in-memory time series database optimized for IoT and Big DataMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
griddb.nethsqldb.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsqream.com
Technical documentationdocs.databend.comdocs.griddb.nethsqldb.org/­web/­hsqlDocsFrame.htmlhelp.sap.com/­docs/­SAP_SQL_Anywheredocs.sqream.com
DeveloperDatabend LabsToshiba CorporationSAP infoformerly SybaseSQream Technologies
Initial release20212013200119922017
Current release1.0.59, April 20235.1, August 20222.7.2, June 202317, July 20152022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infobased on BSD licensecommercialcommercial
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 languageRustC++JavaC++, CUDA, Haskell, Java, Scala
Server operating systemshosted
Linux
macOS
LinuxAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyesyes, ANSI Standard SQL Types
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.nononoyes
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLyesSQL92, SQL-like TQL (Toshiba Query Language)yesyesyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP API infoJDBC via HTTP
JDBC
ODBC
ADO.NET
HTTP API
JDBC
ODBC
.Net
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC
Java
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoJava, SQLyes, in C/C++, Java, .Net or Perluser defined functions in Python
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnoneSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID at container levelACIDACIDACID
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.yesyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess rights for users can be defined per databasefine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabendGridDBHyperSQL infoalso known as HSQLDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSQream DB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
DatabendGridDBHyperSQL infoalso known as HSQLDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSQream DB
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