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DBMS > Amazon DocumentDB vs. Datastax Enterprise vs. Splunk vs. Teradata

System Properties Comparison Amazon DocumentDB vs. Datastax Enterprise vs. Splunk vs. Teradata

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonSplunk  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDataStax 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.Analytics Platform for Big DataA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument storeWide column storeSearch engineRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score5.80
Rank#60  Overall
#4  Wide column stores
Score86.45
Rank#14  Overall
#2  Search engines
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.datastax.com/­products/­datastax-enterprisewww.splunk.comwww.teradata.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.datastax.comdocs.splunk.com/­Documentation/­Splunkdocs.teradata.com
DeveloperDataStaxSplunk Inc.Teradata
Initial release2019201120031984
Current release6.8, April 2020Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infoLimited free edition and free developer edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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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 languageJava
Server operating systemshostedLinux
OS X
Linux
OS X
Solaris
Windows
hosted
Linux
Data schemeschema-freeschema-freeyesyes
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.nonoyesyes
Secondary indexesyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoSQL-like DML and DDL statements (CQL); Spark SQLno infoSplunk Search Processing Language for search commandsyes infoSQL 2016 + extensions
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
HTTP REST.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyesyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"ShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasconfigurable replication factor, datacenter aware, advanced replication for edge computingMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno infoAtomicity and isolation are supported for single operationsno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per objectAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon DocumentDBDatastax EnterpriseSplunkTeradata
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...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
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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More resources
Amazon DocumentDBDatastax EnterpriseSplunkTeradata
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