DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Dgraph vs. Google Cloud Datastore vs. SQLite vs. Yaacomo

System Properties Comparison Dgraph vs. Google Cloud Datastore vs. SQLite vs. Yaacomo

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonSQLite  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionDistributed and scalable native Graph DBMSAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformWidely used embeddable, in-process RDBMSOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelGraph DBMSDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#164  Overall
#15  Graph DBMS
Score4.87
Rank#78  Overall
#12  Document stores
Score118.16
Rank#10  Overall
#7  Relational DBMS
Websitedgraph.iocloud.google.com/­datastorewww.sqlite.orgyaacomo.com
Technical documentationdgraph.io/­docscloud.google.com/­datastore/­docswww.sqlite.org/­docs.html
DeveloperDgraph Labs, Inc.GoogleDwayne Richard HippQ2WEB GmbH
Initial release2016200820002009
Current release3.45.2  (12 March 2024), March 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoPublic Domaincommercial
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 languageGoC
Server operating systemsLinux
OS X
Windows
hostedserver-lessAndroid
Linux
Windows
Data schemeschema-freeschema-freeyes infodynamic column typesyes
Typing infopredefined data types such as float or dateyesyes, details hereyes infonot rigid because of 'dynamic typing' concept.yes
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 indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)yes infoSQL-92 is not fully supportedyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
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 proceduresnousing Google App Engineno
TriggersnoCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication using PaxosnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locksyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nofine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesNavicat for SQLite is a powerful and comprehensive SQLite GUI that provides a complete set of functions for database management and development.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
DgraphGoogle Cloud DatastoreSQLiteYaacomo
DB-Engines blog posts

Big gains for Relational Database Management Systems in DB-Engines Ranking
2 February 2016, Matthias Gelbmann

show all

Recent citations in the news

The 12 Best Graph Databases to Consider for 2024
22 October 2023, Solutions Review

Dgraph on AWS: Setting up a horizontally scalable graph database | Amazon Web Services
1 September 2020, AWS Blog

Popular Open Source GraphQL Company Dgraph Secures $6M in Seed Round with New Leadership
20 July 2022, PR Newswire

10 Best Graph Databases to Consider for 2023
25 November 2023, Analytics Insight

Dgraph launches Slash GraphQL, a GraphQL-native database Backend-as-a-Service
10 September 2020, TechCrunch

provided by Google News

NetApp Cloud Volumes Service datastore support for Google Cloud VMware Engine
7 February 2023, netapp.com

3 Useful tips for using Google Cloud Datastore.
21 August 2018, hackernoon.com

Your Memories. Their Cloud.
1 January 2023, The New York Times

All of Google’s cloud database services are now out of beta
16 August 2016, TechCrunch

Google announces new faster API for Google Cloud Datastore
4 April 2016, 9to5Google

provided by Google News

SQLite the New Hotness?! 🤔
21 March 2024, hackernoon.com

SQLite Vulnerability Could Put Thousands of Apps at Risk
22 March 2024, Dark Reading

Universal API Access from Postgres and SQLite
27 February 2024, O'Reilly Media

SQLite's new support for binary JSON is similar but different from a PostgreSQL feature • DEVCLASS
16 January 2024, DevClass

Stanchion Turns SQLite Into A Column Store
15 February 2024, iProgrammer

provided by Google News



Share this page

Featured Products

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Present your product here