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DBMS > Geode vs. Google Cloud Bigtable vs. Kinetica vs. TerarkDB vs. Yanza

System Properties Comparison Geode vs. Google Cloud Bigtable vs. Kinetica vs. TerarkDB vs. Yanza

Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonKinetica  Xexclude from comparisonTerarkDB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Fully vectorized database across both GPUs and CPUsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBTime Series DBMS for IoT Applications
Primary database modelKey-value storeKey-value store
Wide column store
Relational DBMSKey-value storeTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.51
Rank#147  Overall
#25  Key-value stores
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitegeode.apache.orgcloud.google.com/­bigtablewww.kinetica.comgithub.com/­bytedance/­terarkdbyanza.com
Technical documentationgeode.apache.org/­docscloud.google.com/­bigtable/­docsdocs.kinetica.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GoogleKineticaByteDance, originally TerarkYanza
Initial release20022015201220162015
Current release1.1, February 20177.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercialcommercial inforestricted open source version availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++C++
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredhostedLinuxWindows
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesnono
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.nonononono
Secondary indexesnonoyesnono
SQL infoSupport of SQLSQL-like query language (OQL)noSQL-like DML and DDL statementsnono
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
HTTP API
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
C++
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsnono
Triggersyes infoCache Event Listenersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeAtomic single-row operationsnonono
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.yesnoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights per client and object definableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles on table levelnono

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More resources
GeodeGoogle Cloud BigtableKineticaTerarkDBYanza
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