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DBMS > Datomic vs. Drizzle vs. eXtremeDB vs. Memgraph vs. Solr

System Properties Comparison Datomic vs. Drizzle vs. eXtremeDB vs. Memgraph vs. Solr

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisoneXtremeDB  Xexclude from comparisonMemgraph  Xexclude from comparisonSolr  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.
DescriptionDatomic 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.Natively in-memory DBMS with options for persistency, high-availability and clusteringAn open source graph database built for real-time streaming and compatible with Neo4jA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Time Series DBMS
Graph DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.datomic.comwww.mcobject.commemgraph.comsolr.apache.org
Technical documentationdocs.datomic.comwww.mcobject.com/­docs/­extremedb.htmmemgraph.com/­docssolr.apache.org/­resources.html
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperCognitectDrizzle project, originally started by Brian AkerMcObjectMemgraph LtdApache Software Foundation
Initial release20122008200120172006
Current release1.0.6735, June 20237.2.4, September 20128.2, 20219.6.0, April 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGNU GPLcommercialOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoApache Version 2
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.
Implementation languageJava, ClojureC++C and C++C and C++Java
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
AIX
HP-UX
Linux
macOS
Solaris
Windows
LinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyesschema-free and schema-optionalyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyesyes infosupports customizable data types and automatic typing
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.nono infosupport of XML interfaces availablenoyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyes infowith proprietary extensionsyes infowith the option: eXtremeSQLnoSolr Parallel SQL Interface
APIs and other access methodsRESTful HTTP APIJDBC.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Bolt protocol
Cypher query language
Java API
RESTful HTTP/JSON API
Supported programming languagesClojure
Java
C
C++
Java
PHP
.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoTransaction FunctionsnoyesJava plugins
TriggersBy using transaction functionsno infohooks for callbacks inside the server can be used.yes infoby defining eventsyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardinghorizontal partitioning / shardingSharding infodynamic graph partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
Active Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replication using RAFTyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infowith snapshot isolationoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes 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.yes inforecommended only for testing and developmentyesyesyes
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers, roles and permissionsyes
More information provided by the system vendor
DatomicDrizzleeXtremeDBMemgraphSolr
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
You can check out our pricing model and licenses on the company website .
» more

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DatomicDrizzleeXtremeDBMemgraphSolr
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