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DBMS > Amazon Redshift vs. Datastax Enterprise vs. Ignite

System Properties Comparison Amazon Redshift vs. Datastax Enterprise vs. Ignite

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonIgnite  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsDataStax 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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelRelational DBMSWide column storeKey-value store
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.67
Rank#31  Overall
#19  Relational DBMS
Score9.15
Rank#42  Overall
#4  Wide column stores
Score4.45
Rank#68  Overall
#11  Key-value stores
#37  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.datastax.com/­products/­datastax-enterpriseignite.apache.org
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datastax.comapacheignite.readme.io/­docs
DeveloperAmazon (based on PostgreSQL)DataStaxApache Software Foundation
Initial release201220112015
Current release6.7, December 2018Apache Ignite 2.6
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++, Java, .Net
Server operating systemshostedLinux
OS X
Linux
OS X
Solaris
Windows
Data schemeyesschema-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.nonoyes
Secondary indexesrestrictedyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statements (CQL); Spark SQLANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJDBC
ODBC
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
HDFS API
Hibernate
JCache
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnoyes (compute grid and cache interceptors can be used instead)
Triggersnoyesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesconfigurable replication factor, datacenter aware, advanced replication for edge computingyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 controlfine grained access rights according to SQL-standardAccess rights for users can be defined per objectSecurity Hooks for custom implementations
More information provided by the system vendor
Amazon RedshiftDatastax EnterpriseIgnite
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» 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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesDBHawk: a web-based Amazon Redshift Workbench and Cloud database tool.
» more

Dremio is like magic for Redshift accelerating your analytical queries up to 1,000x.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon RedshiftDatastax EnterpriseIgnite
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