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DBMS > Datastax Enterprise vs. Memgraph vs. Microsoft Access vs. Vertica

System Properties Comparison Datastax Enterprise vs. Memgraph vs. Microsoft Access vs. Vertica

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonMemgraph  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.An open source graph database built for real-time streaming and compatible with Neo4jMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Cloud 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 modelWide column storeGraph DBMSRelational DBMSRelational DBMS infoColumn oriented
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.31
Rank#57  Overall
#4  Wide column stores
Score3.00
Rank#102  Overall
#8  Graph DBMS
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score11.40
Rank#43  Overall
#27  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterprisememgraph.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.vertica.com
Technical documentationdocs.datastax.commemgraph.com/­docsdeveloper.microsoft.com/­en-us/­accessvertica.com/­documentation
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperDataStaxMemgraph LtdMicrosoftOpenText infopreviously Micro Focus and Hewlett Packard
Initial release2011201719922005
Current release6.8, April 20201902 (16.0.11328.20222), March 201912.0.3, January 2023
License infoCommercial or Open Sourcecommercialcommercial infoFree license availablecommercial infoBundled with Microsoft Officecommercial 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.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaC and C++C++C++
Server operating systemsLinux
OS X
LinuxWindows infoNot a real database server, but making use of DLLsLinux
Data schemeschema-freeschema-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.nonono
Secondary indexesyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoyes infobut not compliant to any SQL standardFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Bolt protocol
Cypher query language
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engineyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesyes infosince Access 2010 using the ACE-engineyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infodynamic graph partitioningnonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingMulti-source replication using RAFTnoneMulti-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 methodsyesnonono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACID infowith snapshot isolationACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users can be defined per objectUsers, roles and permissionsno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Datastax EnterpriseMemgraphMicrosoft AccessVertica infoOpenText™ Vertica™
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» 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,...
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Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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Business Source License ensures a future for the Memgraph community MAGE algorithm...
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Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» 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
Datastax EnterpriseMemgraphMicrosoft AccessVertica infoOpenText™ Vertica™
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