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DBMS > Databend vs. Linter vs. RisingWave vs. SiteWhere

System Properties Comparison Databend vs. Linter vs. RisingWave vs. SiteWhere

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonLinter  Xexclude from comparisonRisingWave  Xexclude from comparisonSiteWhere  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 complexityRDBMS for high security requirementsA distributed RDBMS for stream processing, wire-compatible with PostgreSQLM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
linter.ruwww.risingwave.com/­databasegithub.com/­sitewhere/­sitewhere
Technical documentationdocs.databend.comdocs.risingwave.com/­docs/­current/­intrositewhere1.sitewhere.io/­index.html
DeveloperDatabend Labsrelex.ruRisingWave LabsSiteWhere
Initial release2021199020222010
Current release1.0.59, April 20231.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC and C++RustJava
Server operating systemshosted
Linux
macOS
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Docker
Linux
macOS
Linux
OS X
Windows
Data schemeyesyesyespredefined scheme
Typing infopredefined data types such as float or dateyesyesStandard SQL-types and JSONyes
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 indexesnoyesyesno
SQL infoSupport of SQLyesyesyesno
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JDBC
PostgreSQL wire protocol
HTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infoproprietary syntax with the possibility to convert from PL/SQLUDFs in Python or Java
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationselectable replication factor infobased on HBase
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 integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardUsers and RolesUsers with fine-grained authorization concept

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More resources
DatabendLinterRisingWaveSiteWhere
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