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DBMS > AllegroGraph vs. CrateDB vs. Datomic vs. Drizzle vs. Memgraph

System Properties Comparison AllegroGraph vs. CrateDB vs. Datomic vs. Drizzle vs. Memgraph

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonCrateDB  Xexclude from comparisonDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisonMemgraph  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.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSDistributed Database based on LuceneDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.An open source graph database built for real-time streaming and compatible with Neo4j
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.16
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.73
Rank#229  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score3.00
Rank#102  Overall
#8  Graph DBMS
Websiteallegrograph.comcratedb.comwww.datomic.commemgraph.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlcratedb.com/­docsdocs.datomic.commemgraph.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperFranz Inc.CrateCognitectDrizzle project, originally started by Brian AkerMemgraph Ltd
Initial release20042013201220082017
Current release8.0, December 20231.0.6735, June 20237.2.4, September 2012
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Sourcecommercial infolimited edition freeOpen Source infoGNU GPLcommercial infoFree license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageJavaJava, ClojureC++C and C++
Server operating systemsLinux
OS X
Windows
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAll OS with a Java VMFreeBSD
Linux
OS X
Linux
Data schemeyes infoRDF schemasFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.no infobulk load of XML files possiblenonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageyes, but no triggers and constraints, and PostgreSQL compatibilitynoyes infowith proprietary extensionsno
APIs and other access methodsRESTful HTTP API
SPARQL
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
RESTful HTTP APIJDBCBolt protocol
Cypher query language
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
Clojure
Java
C
C++
Java
PHP
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functions (Javascript)yes infoTransaction Functionsno
TriggersyesnoBy using transaction functionsno infohooks for callbacks inside the server can be used.
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingnone infoBut extensive use of caching in the application peersShardingSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Configurable replication on table/partition-levelnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
Multi-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACIDACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes 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.nonoyes inforecommended only for testing and developmentyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationrights management via user accountsnoPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers, roles and permissions
More information provided by the system vendor
AllegroGraphCrateDBDatomicDrizzleMemgraph
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
The enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
Response time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more
You can check out our pricing model and licenses on the company website .
» more
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