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DBMS > Drizzle vs. Google Cloud Bigtable vs. Kinetica vs. Memgraph

System Properties Comparison Drizzle vs. Google Cloud Bigtable vs. Kinetica vs. Memgraph

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonKinetica  Xexclude from comparisonMemgraph  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.GPU-accelerated database for real-time analysis of large and streaming datasetsA hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scale
Primary database modelRelational DBMSWide column storeRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#90  Overall
#7  Wide column stores
Score0.67
Rank#196  Overall
#94  Relational DBMS
Score0.08
Rank#296  Overall
#26  Graph DBMS
Websitecloud.google.com/­bigtablewww.kinetica.commemgraph.com
Technical documentationcloud.google.com/­bigtable/­docswww.kinetica.com/­docsdocs.memgraph.com
DeveloperDrizzle project, originally started by Brian AkerGoogleKineticaMemgraph Ltd
Initial release2008201520122017
Current release7.2.4, September 20126.0
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialcommercial infoFree license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++C and C++
Server operating systemsFreeBSD
Linux
OS X
hostedLinuxLinux
Data schemeyesschema-freeyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonono
Secondary indexesyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoSQL-like DML and DDL statementsno
APIs and other access methodsJDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
RESTful HTTP API
Bolt protocol
Cypher query language
Supported programming languagesC
C++
Java
PHP
C#
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
Server-side scripts infoStored proceduresnonouser defined functions
Triggersno infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Internal replication in Colossus, and regional replication between two clusters in different zonesMaster-slave replicationMulti-Master replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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 Consistency
Foreign keys infoReferential integrityyesnoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnoACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess 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 permissions

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More resources
DrizzleGoogle Cloud BigtableKineticaMemgraph
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