DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > 4D vs. Drizzle vs. Google Cloud Datastore vs. Memgraph vs. Postgres-XL

System Properties Comparison 4D vs. Drizzle vs. Google Cloud Datastore vs. Memgraph vs. Postgres-XL

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonDrizzle  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMemgraph  Xexclude from comparisonPostgres-XL  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.
DescriptionApplication development environment with integrated database management systemMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformAn open source graph database built for real-time streaming and compatible with Neo4jBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSRelational DBMSDocument storeGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.80
Rank#111  Overall
#55  Relational DBMS
Score4.87
Rank#78  Overall
#12  Document stores
Score3.09
Rank#105  Overall
#7  Graph DBMS
Score0.56
Rank#253  Overall
#115  Relational DBMS
Websitewww.4d.comcloud.google.com/­datastorememgraph.comwww.postgres-xl.org
Technical documentationdeveloper.4d.comcloud.google.com/­datastore/­docsmemgraph.com/­docswww.postgres-xl.org/­documentation
Social network pagesLinkedInTwitterFacebookGitHubDiscord
Developer4D, IncDrizzle project, originally started by Brian AkerGoogleMemgraph Ltd
Initial release19842008200820172014 infosince 2012, originally named StormDB
Current releasev20, April 20237.2.4, September 201210 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercialcommercial infoFree license availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++C
Server operating systemsOS X
Windows
FreeBSD
Linux
OS X
hostedLinuxLinux
macOS
Data schemeyesyesschema-freeschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyes, details hereyesyes
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.yesnonoyes infoXML type, but no XML query functionality
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92yes infowith proprietary extensionsSQL-like query language (GQL)noyes infodistributed, parallel query execution
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Bolt protocol
Cypher query language
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages4D proprietary IDE
PHP
C
C++
Java
PHP
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesnousing Google App Engineuser defined functions
Triggersyesno infohooks for callbacks inside the server can be used.Callbacks using the Google Apps Engineyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infodynamic graph partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
Multi-source replication using PaxosMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes 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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes infovia ReferenceProperties or Ancestor pathsyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infowith snapshot isolationACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes 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.nonoyesno
User concepts infoAccess controlUsers and groupsPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users, roles and permissionsfine grained access rights according to SQL-standard
More information provided by the system vendor
4D infoformer name: 4th DimensionDrizzleGoogle Cloud DatastoreMemgraphPostgres-XL
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

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

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

More resources
4D infoformer name: 4th DimensionDrizzleGoogle Cloud DatastoreMemgraphPostgres-XL
DB-Engines blog posts

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

show all

MySQL won the April ranking; did its forks follow?
1 April 2015, Paul Andlinger

Has MySQL finally lost its mojo?
1 July 2013, Matthias Gelbmann

show all

Recent citations in the 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

Graph Database Market to grow at a CAGR of 19.9% from 2022 to 2027|Increased demand for low-latency queries is a ...
7 August 2023, PR Newswire

Graph database company Memgraph raises $9.34M
5 October 2021, VentureBeat

Modeling and Navigating a Transportation Network with Memgraph
12 April 2021, Towards Data Science

Croatian graph database startup Memgraph raises €8M with Microsoft as key investor, plans to boost R&D
20 October 2021, The Recursive

London-based Memgraph raises over €8 million in seed funding to provide Streaming Graph Algorithms to the masses
5 October 2021, EU-Startups

provided by Google News

Challenges When Migrating from Oracle to PostgreSQL—and How to Overcome Them | Amazon Web Services
1 February 2018, AWS Blog

5 Takeaways from Big Data Spain 2017 | by Enrique Herreros
5 December 2017, Towards Data Science

provided by Google News



Share this page

Featured Products

Milvus logo

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

Neo4j logo

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

SingleStore logo

The database to transact, analyze and contextualize your data in real time.
Try it today.

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

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.

Present your product here