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DBMS > Drizzle vs. Google Cloud Bigtable vs. Memgraph vs. Oracle Rdb vs. SQLite

System Properties Comparison Drizzle vs. Google Cloud Bigtable vs. Memgraph vs. Oracle Rdb vs. SQLite

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMemgraph  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSQLite  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 scaleWidely used in-process RDBMS
Primary database modelRelational DBMSWide column storeGraph DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.38
Rank#103  Overall
#7  Wide column stores
Score0.06
Rank#315  Overall
#31  Graph DBMS
Score1.01
Rank#149  Overall
#73  Relational DBMS
Score121.95
Rank#10  Overall
#7  Relational DBMS
Websitecloud.google.com/­bigtablememgraph.comwww.oracle.com/­technetwork/­database/­database-technologies/­rdb/­overview/­index.htmlwww.sqlite.org
Technical documentationcloud.google.com/­bigtable/­docsdocs.memgraph.comwww.sqlite.org/­docs.html
DeveloperDrizzle project, originally started by Brian AkerGoogleMemgraph LtdOracle, originally developed by Digital Equipment Corporation (DEC)Dwayne Richard Hipp
Initial release20082015201719842000
Current release7.2.4, September 20127.3.3.2.0, 20193.31.0, January 2020
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercial infoFree license availablecommercialOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++C
Server operating systemsFreeBSD
Linux
OS X
hostedLinuxHP Open VMSserver-less
Data schemeyesschema-freeschema-free and schema-optionalFlexible Schema (defined schema, partial schema, schema free)yes infodynamic column types
Typing infopredefined data types such as float or dateyesnoyesyesyes infonot rigid because of 'dynamic typing' concept.
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 indexesyesnoyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnonoyesyes infoSQL-92 is not fully supported
APIs and other access methodsJDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Bolt protocol
Cypher query language
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
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
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnonono
Triggersno infohooks for callbacks inside the server can be used.noyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infodynamic graph partitioningnone
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 RAFTnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes inforelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACID infowith snapshot isolationyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
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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DrizzleGoogle Cloud BigtableMemgraphOracle RdbSQLite
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