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DBMS > Datastax Enterprise vs. Ignite vs. Quasardb

System Properties Comparison Datastax Enterprise vs. Ignite vs. Quasardb

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonIgnite  Xexclude from comparisonQuasardb  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.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.Distributed, high-performance timeseries database
Primary database modelWide column storeKey-value store
Relational DBMS
Time Series DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.15
Rank#42  Overall
#4  Wide column stores
Score4.45
Rank#68  Overall
#11  Key-value stores
#36  Relational DBMS
Score0.10
Rank#290  Overall
#22  Time Series DBMS
Websitewww.datastax.com/­products/­datastax-enterpriseignite.apache.orgwww.quasardb.net
Technical documentationdocs.datastax.comapacheignite.readme.io/­docsdoc.quasardb.net
DeveloperDataStaxApache Software Foundationquasardb
Initial release201120152009
Current release6.7, December 2018Apache Ignite 2.63.1, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, .NetC++
Server operating systemsLinux
OS X
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binary
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.noyesno
Secondary indexesyesyesyes infowith tags
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
HDFS API
Hibernate
JCache
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
HTTP API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)no
Triggersyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingyes (replicated cache)Master-slave replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)with Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTransient mode
User concepts infoAccess controlAccess rights for users can be defined per objectSecurity Hooks for custom implementationsCryptographically strong user authentication and audit trail
More information provided by the system vendor
Datastax EnterpriseIgniteQuasardb
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
High-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
High performance in a cost-effective small package Real-time results for even large...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
Tick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
Large EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Has been running in very demanding production environments since 2013 Rapid adoption...
» more
Licensing and pricing modelsAnnual subscription
» more
Community edition limited to 2 nodes and 16 GiB of storage per node available for...
» more

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More resources
Datastax EnterpriseIgniteQuasardb
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