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DBMS > Google Cloud Datastore vs. Memgraph vs. Quasardb vs. Transbase

System Properties Comparison Google Cloud Datastore vs. Memgraph vs. Quasardb vs. Transbase

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonMemgraph  Xexclude from comparisonQuasardb  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformAn open source graph database built for real-time streaming and compatible with Neo4jDistributed, high-performance timeseries databaseA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument storeGraph DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitecloud.google.com/­datastorememgraph.comquasar.aiwww.transaction.de/­en/­products/­transbase.html
Technical documentationcloud.google.com/­datastore/­docsmemgraph.com/­docsdoc.quasar.ai/­masterwww.transaction.de/­en/­products/­transbase/­features.html
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperGoogleMemgraph LtdquasardbTransaction Software GmbH
Initial release2008201720091987
Current release3.14.1, January 2024Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++C and C++
Server operating systemshostedLinuxBSD
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeschema-free and schema-optionalschema-freeyes
Typing infopredefined data types such as float or dateyes, details hereyesyes infointeger and binaryyes
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 indexesyesyes infowith tagsyes
SQL infoSupport of SQLSQL-like query language (GQL)noSQL-like query languageyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Bolt protocol
Cypher query language
HTTP APIADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresusing Google App Enginenoyes
TriggersCallbacks using the Google Apps Enginenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infodynamic graph partitioningSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replication using RAFTSource-replica replication with selectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyes inforelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infowith snapshot isolationACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users, roles and permissionsCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard
More information provided by the system vendor
Google Cloud DatastoreMemgraphQuasardbTransbase
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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More resources
Google Cloud DatastoreMemgraphQuasardbTransbase
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