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DBMS > eXtremeDB vs. Memgraph vs. MonetDB vs. Vertica

System Properties Comparison eXtremeDB vs. Memgraph vs. MonetDB vs. Vertica

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonMemgraph  Xexclude from comparisonMonetDB  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringAn open source graph database built for real-time streaming and compatible with Neo4jA relational database management system that stores data in columnsCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelRelational DBMS
Time Series DBMS
Graph DBMSRelational DBMSRelational DBMS infoColumn oriented
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score10.68
Rank#43  Overall
#27  Relational DBMS
Websitewww.mcobject.commemgraph.comwww.monetdb.orgwww.vertica.com
Technical documentationwww.mcobject.com/­docs/­extremedb.htmmemgraph.com/­docswww.monetdb.org/­Documentationvertica.com/­documentation
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperMcObjectMemgraph LtdMonetDB BVOpenText infopreviously Micro Focus and Hewlett Packard
Initial release2001201720042005
Current release8.2, 2021Dec2023 (11.49), December 202312.0.3, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoMozilla Public License 2.0commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C and C++CC++
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
LinuxFreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeyesschema-free and schema-optionalyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesyesyesyes
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 infosupport of XML interfaces availablenono
Secondary indexesyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLyes infowith the option: eXtremeSQLnoyes infoSQL 2003 with some extensionsFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Bolt protocol
Cypher query language
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyesyes, in SQL, C, Ryes, PostgreSQL PL/pgSQL, with minor differences
Triggersyes infoby defining eventsyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingSharding infodynamic graph partitioningSharding via remote tableshorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesActive 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 RAFTnone infoSource-replica replication available in experimental statusMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes inforelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infowith snapshot isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
eXtremeDBMemgraphMonetDBVertica infoOpenText™ Vertica™
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
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» 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
Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» 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
Cost-based models and subscription-based models are both available. One license is...
» more

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More resources
eXtremeDBMemgraphMonetDBVertica infoOpenText™ Vertica™
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