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DBMS > atoti vs. Datastax Enterprise vs. FatDB vs. HugeGraph

System Properties Comparison atoti vs. Datastax Enterprise vs. FatDB vs. HugeGraph

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonFatDB  Xexclude from comparisonHugeGraph  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.DataStax 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 .NET NoSQL DBMS that can integrate with and extend SQL Server.A fast-speed and highly-scalable Graph DBMS
Primary database modelObject oriented DBMSWide column storeDocument store
Key-value 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
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score5.80
Rank#60  Overall
#4  Wide column stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websiteatoti.iowww.datastax.com/­products/­datastax-enterprisegithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdocs.atoti.iodocs.datastax.comhugegraph.apache.org/­docs
DeveloperActiveViamDataStaxFatCloudBaidu
Initial release201120122018
Current release6.8, April 20200.9
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
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 languageJavaJavaC#Java
Server operating systemsLinux
OS X
WindowsLinux
macOS
Unix
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesyesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like DML and DDL statements (CQL); Spark SQLno infoVia inetgration in SQL Serverno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#Groovy
Java
Python
Server-side scripts infoStored proceduresPythonnoyes infovia applicationsasynchronous Gremlin script jobs
Triggersyesyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infono "single point of failure"Shardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesvia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynonoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users can be defined per objectno infoCan implement custom security layer via applicationsUsers, roles and permissions
More information provided by the system vendor
atotiDatastax EnterpriseFatDBHugeGraph
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
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...
» more
Licensing and pricing modelsAnnual subscription
» more

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atotiDatastax EnterpriseFatDBHugeGraph
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