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DBMS > Google Cloud Spanner vs. Memgraph

System Properties Comparison Google Cloud Spanner vs. Memgraph

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonMemgraph  Xexclude from comparison
DescriptionA 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.A hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scale
Primary database modelRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.71
Rank#115  Overall
#59  Relational DBMS
Score0.03
Rank#321  Overall
#30  Graph DBMS
Websitecloud.google.com/­spannermemgraph.com
Technical documentationcloud.google.com/­spanner/­docsmemgraph.com/­docs
DeveloperGoogleMemgraph Ltd
Initial release20172017
License infoCommercial or Open Sourcecommercialcommercial infoFree license available
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++
Server operating systemshostedLinux
Data schemeyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyes
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 indexesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011no
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
Bolt protocol
Cypher query language
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-Master replication with 3 replicas for regional instances.Multi-Master replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes 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
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users, roles and permissions

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More resources
Google Cloud SpannerMemgraph
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