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DBMS > Google Cloud Datastore vs. GridGain vs. Memgraph vs. Weaviate

System Properties Comparison Google Cloud Datastore vs. GridGain vs. Memgraph vs. Weaviate

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonGridGain  Xexclude from comparisonMemgraph  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformGridGain is an in-memory computing platform, built on Apache IgniteAn open source graph database built for real-time streaming and compatible with Neo4jAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument storeColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Graph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#71  Overall
#12  Document stores
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score2.91
Rank#94  Overall
#7  Graph DBMS
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websitecloud.google.com/­datastorewww.gridgain.commemgraph.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationcloud.google.com/­datastore/­docswww.gridgain.com/­docs/­index.htmlmemgraph.com/­docsweaviate.io/­developers/­weaviate
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperGoogleGridGain Systems, Inc.Memgraph LtdWeaviate B.V.
Initial release2008200720172019
Current releaseGridGain 8.5.11.19, May 2023
License infoCommercial or Open Sourcecommercialcommercial, open sourceOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infocommercial license available with Weaviate Enterprise
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 languageJava, C++, .Net, Python, REST, SQLC and C++Go
Server operating systemshostedLinux
OS X
Solaris
Windows
z/OS
Linux
Data schemeschema-freeyesschema-free and schema-optionalyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyes, details hereyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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.noyesnono
Secondary indexesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like query language (GQL)ANSI-99 for query and DML statements, subset of DDLnoGraphQL is used as query language
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Bolt protocol
Cypher query language
GraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresusing Google App Engineyes (compute grid and cache interceptors can be used instead)no
TriggersCallbacks using the Google Apps Engineyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infodynamic graph partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes (replicated cache)Multi-source replication using RAFTyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyes (compute grid and hadoop accelerator)nono
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 ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID 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.noyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access control
Security Hooks for custom implementations
Users, roles and permissionsAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Google Cloud DatastoreGridGainMemgraphWeaviate
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
As a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Google Cloud DatastoreGridGainMemgraphWeaviate
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