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DBMS > Databend vs. GeoMesa vs. KairosDB vs. Spark SQL

System Properties Comparison Databend vs. GeoMesa vs. KairosDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGeoMesa  Xexclude from comparisonKairosDB  Xexclude from comparisonSpark SQL  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 complexityGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Distributed Time Series DBMS based on Cassandra or H2Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSSpatial DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.geomesa.orggithub.com/­kairosdb/­kairosdbspark.apache.org/­sql
Technical documentationdocs.databend.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlkairosdb.github.iospark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDatabend LabsCCRi and othersApache Software Foundation
Initial release2021201420132014
Current release1.0.59, April 20235.0.0, May 20241.2.2, November 20183.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache License 2.0Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustScalaJavaScala
Server operating systemshosted
Linux
macOS
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnoyesnono
SQL infoSupport of SQLyesnonoSQL-like DML and DDL statements
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
Graphite protocol
HTTP REST
Telnet API
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Java
JavaScript infoNode.js
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layerSharding infobased on Cassandrayes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layerselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.depending on storage layernono
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesyes infodepending on the DBMS used for storagesimple password-based access controlno

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More resources
DatabendGeoMesaKairosDBSpark SQL
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