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DBMS > atoti vs. Datastax Enterprise vs. Teradata Aster vs. Warp 10

System Properties Comparison atoti vs. Datastax Enterprise vs. Teradata Aster vs. Warp 10

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonTeradata Aster  Xexclude from comparisonWarp 10  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines 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.Platform for big data analytics on multistructured data sources and typesTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelObject oriented DBMSWide column storeRelational DBMSTime Series 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
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score5.93
Rank#56  Overall
#4  Wide column stores
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websiteatoti.iowww.datastax.com/­products/­datastax-enterprisewww.warp10.io
Technical documentationdocs.atoti.iodocs.datastax.comwww.warp10.io/­content/­02_Getting_started
DeveloperActiveViamDataStaxTeradataSenX
Initial release201120052015
Current release6.8, April 2020
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercialOpen Source infoApache License 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 languageJavaJavaJava
Server operating systemsLinux
OS X
LinuxLinux
OS X
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
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.noyes infoin Aster File Storeno
Secondary indexesyesyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like DML and DDL statements (CQL); Spark SQLyesno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
JDBC
ODBC
OLE DB
HTTP API
Jupyter
WebSocket
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresPythonnoR packagesyes infoWarpScript
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infono "single point of failure"ShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDno
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.yesyesnoyes
User concepts infoAccess controlAccess rights for users can be defined per objectfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
atotiDatastax EnterpriseTeradata AsterWarp 10
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 EnterpriseTeradata AsterWarp 10
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