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DBMS > Datastax Enterprise vs. Graph Engine vs. Machbase Neo vs. SurrealDB

System Properties Comparison Datastax Enterprise vs. Graph Engine vs. Machbase Neo vs. SurrealDB

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonSurrealDB  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.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineTimeSeries DBMS for AIoT and BigDataA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelWide column storeGraph DBMS
Key-value store
Time Series DBMSDocument store
Graph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.93
Rank#56  Overall
#4  Wide column stores
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.17
Rank#337  Overall
#30  Time Series DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitewww.datastax.com/­products/­datastax-enterprisewww.graphengine.iomachbase.comsurrealdb.com
Technical documentationdocs.datastax.comwww.graphengine.io/­docs/­manualmachbase.com/­dbmssurrealdb.com/­docs
DeveloperDataStaxMicrosoftMachbaseSurrealDB Ltd
Initial release2011201020132022
Current release6.8, April 2020V8.0, August 2023v1.5.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercial infofree test version availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava.NET and CCRust
Server operating systemsLinux
OS X
.NETLinux
macOS
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyesschema-free
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 indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoSQL-like query languageSQL-like query language
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
RESTful HTTP APIgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
F#
Visual Basic
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnoyesno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storagenoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infovolatile and lookup table
User concepts infoAccess controlAccess rights for users can be defined per objectsimple password-based access controlyes, based on authentication and database rules
More information provided by the system vendor
Datastax EnterpriseGraph Engine infoformer name: TrinityMachbase Neo infoFormer name was InfinifluxSurrealDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
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Licensing and pricing modelsAnnual subscription
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Datastax EnterpriseGraph Engine infoformer name: TrinityMachbase Neo infoFormer name was InfinifluxSurrealDB
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