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DBMS > Databend vs. Geode vs. H2 vs. Kinetica

System Properties Comparison Databend vs. Geode vs. H2 vs. Kinetica

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGeode  Xexclude from comparisonH2  Xexclude from comparisonKinetica  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 complexityGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Fully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
geode.apache.orgwww.h2database.comwww.kinetica.com
Technical documentationdocs.databend.comgeode.apache.org/­docswww.h2database.com/­html/­main.htmldocs.kinetica.com
DeveloperDatabend LabsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Thomas MuellerKinetica
Initial release2021200220052012
Current release1.0.59, April 20231.1, February 20172.2.220, July 20237.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJavaJavaC, C++
Server operating systemshosted
Linux
macOS
All OS with a Java VM infothe JDK (8 or later) is also requiredAll OS with a Java VMLinux
Data schemeyesschema-freeyesyes
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 indexesnonoyesyes
SQL infoSupport of SQLyesSQL-like query language (OQL)yesSQL-like DML and DDL statements
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
All JVM based languages
C++
Groovy
Java
Scala
JavaC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsJava Stored Procedures and User-Defined Functionsuser defined functions
Triggersnoyes infoCache Event Listenersyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes, on a single nodeACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.yesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess rights per client and object definablefine grained access rights according to SQL-standardAccess rights for users and roles on table level

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More resources
DatabendGeodeH2Kinetica
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