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DBMS > Datastax Enterprise vs. EXASOL vs. IRONdb vs. STSdb vs. SwayDB

System Properties Comparison Datastax Enterprise vs. EXASOL vs. IRONdb vs. STSdb vs. SwayDB

Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonEXASOL  Xexclude from comparisonIRONdb  Xexclude from comparisonSTSdb  Xexclude from comparisonSwayDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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.High-performance, in-memory, MPP database specifically designed for in-memory analytics.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelWide column storeRelational DBMSTime Series DBMSKey-value storeKey-value store
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
Score6.31
Rank#57  Overall
#4  Wide column stores
Score2.25
Rank#120  Overall
#57  Relational DBMS
Score0.06
Rank#365  Overall
#55  Key-value stores
Score0.04
Rank#373  Overall
#57  Key-value stores
Websitewww.datastax.com/­products/­datastax-enterprisewww.exasol.comwww.circonus.com/solutions/time-series-database/github.com/­STSSoft/­STSdb4swaydb.simer.au
Technical documentationdocs.datastax.comwww.exasol.com/­resourcesdocs.circonus.com/irondb/category/getting-started
DeveloperDataStaxExasolCirconus LLC.STS Soft SCSimer Plaha
Initial release20112000201720112018
Current release6.8, April 2020V0.10.20, January 20184.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPLv2, commercial license availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C#Scala
Server operating systemsLinux
OS X
LinuxWindows
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes infoprimitive types and user defined types (classes)no
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.nononono
Secondary indexesyesyesnonono
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)nono
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
.Net
JDBC
ODBC
WebSocket
HTTP API.NET Client API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Lua
Python
R
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
Java
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnouser defined functionsyes, in Luanono
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingAutomatic, metric affinity per nodenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingconfigurable replication factor, datacenter awarenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDnonoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 objectAccess rights for users, groups and roles according to SQL-standardnonono
More information provided by the system vendor
Datastax EnterpriseEXASOLIRONdbSTSdbSwayDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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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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Datastax EnterpriseEXASOLIRONdbSTSdbSwayDB
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