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DBMS > Drizzle vs. Google Cloud Spanner vs. Memgraph vs. Splice Machine

System Properties Comparison Drizzle vs. Google Cloud Spanner vs. Memgraph vs. Splice Machine

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMemgraph  Xexclude from comparisonSplice Machine  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.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.An open source graph database built for real-time streaming and compatible with Neo4jOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitecloud.google.com/­spannermemgraph.comsplicemachine.com
Technical documentationcloud.google.com/­spanner/­docsmemgraph.com/­docssplicemachine.com/­how-it-works
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperDrizzle project, originally started by Brian AkerGoogleMemgraph LtdSplice Machine
Initial release2008201720172014
Current release7.2.4, September 20123.1, March 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++Java
Server operating systemsFreeBSD
Linux
OS X
hostedLinuxLinux
OS X
Solaris
Windows
Data schemeyesyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyes infoQuery statements complying to ANSI 2011noyes
APIs and other access methodsJDBCgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Bolt protocol
Cypher query language
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C++
Java
PHP
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes infoJava
Triggersno infohooks for callbacks inside the server can be used.noyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infodynamic graph partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication with 3 replicas for regional instances.Multi-source replication using RAFTMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud DataflownoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)
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.noyesyes
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 permissionsAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
DrizzleGoogle Cloud SpannerMemgraphSplice Machine
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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DrizzleGoogle Cloud SpannerMemgraphSplice Machine
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