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DBMS > Drizzle vs. Google Cloud Bigtable vs. Memgraph vs. Riak KV

System Properties Comparison Drizzle vs. Google Cloud Bigtable vs. Memgraph vs. Riak KV

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMemgraph  Xexclude from comparisonRiak KV  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.A hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scaleDistributed, fault tolerant key-value store
Primary database modelRelational DBMSWide column storeGraph DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#106  Overall
#7  Wide column stores
Score0.05
Rank#306  Overall
#29  Graph DBMS
Score5.39
Rank#59  Overall
#9  Key-value stores
Websitecloud.google.com/­bigtablememgraph.combasho.com/­products/­riak-kv
Technical documentationcloud.google.com/­bigtable/­docsdocs.memgraph.com
DeveloperDrizzle project, originally started by Brian AkerGoogleMemgraph LtdBasho Technologies
Initial release2008201520172009
Current release7.2.4, September 20122.1.0, April 2015
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercial infoFree license availableOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++Erlang
Server operating systemsFreeBSD
Linux
OS X
hostedLinuxLinux
OS X
Data schemeyesschema-freeschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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 indexesyesnorestricted
SQL infoSupport of SQLyes infowith proprietary extensionsnonono
APIs and other access methodsJDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Bolt protocol
Cypher query language
HTTP API
Native Erlang Interface
Supported programming languagesC
C++
Java
PHP
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnonoJavaScript and Erlang
Triggersno infohooks for callbacks inside the server can be used.noyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infodynamic graph partitioningSharding infono "single point of failure"
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 zonesMulti-Master replication using RAFTselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyes inforelationships in graphsno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACID infowith snapshot isolationno
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
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)Users, roles and permissionsno

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More resources
DrizzleGoogle Cloud BigtableMemgraphRiak KV
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