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DBMS > Google Cloud Bigtable vs. Kinetica vs. Memgraph vs. Oracle Coherence

System Properties Comparison Google Cloud Bigtable vs. Kinetica vs. Memgraph vs. Oracle Coherence

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonKinetica  Xexclude from comparisonMemgraph  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionGoogle'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 CPUsAn open source graph database built for real-time streaming and compatible with Neo4jOracles in-memory data grid solution
Primary database modelKey-value store
Wide column store
Relational DBMSGraph DBMSKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Websitecloud.google.com/­bigtablewww.kinetica.commemgraph.comwww.oracle.com/­java/­coherence
Technical documentationcloud.google.com/­bigtable/­docsdocs.kinetica.commemgraph.com/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherence
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperGoogleKineticaMemgraph LtdOracle
Initial release2015201220172007
Current release7.1, August 202114.1, August 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C and C++Java
Server operating systemshostedLinuxLinuxAll OS with a Java VM
Data schemeschema-freeyesschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnoyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnono
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
RESTful HTTP API
Bolt protocol
Cypher query language
JCache
JPA
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C++
Java
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infodynamic graph partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationMulti-source replication using RAFTyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACID infowith snapshot isolationconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles on table levelUsers, roles and permissionsauthentification to access the cache via certificates or http basic authentication
More information provided by the system vendor
Google Cloud BigtableKineticaMemgraphOracle Coherence
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
Google Cloud BigtableKineticaMemgraphOracle Coherence
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