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DBMS > Datastax Enterprise vs. EsgynDB vs. etcd vs. TempoIQ

System Properties Comparison Datastax Enterprise vs. EsgynDB vs. etcd vs. TempoIQ

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonEsgynDB  Xexclude from comparisonetcd  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed 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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA distributed reliable key-value storeScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelWide column storeRelational DBMSKey-value storeTime 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
Score5.80
Rank#60  Overall
#4  Wide column stores
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Websitewww.datastax.com/­products/­datastax-enterprisewww.esgyn.cnetcd.io
github.com/­etcd-io/­etcd
tempoiq.com (offline)
Technical documentationdocs.datastax.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
DeveloperDataStaxEsgynTempoIQ
Initial release201120152012
Current release6.8, April 20203.4, August 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
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 languageJavaC++, JavaGo
Server operating systemsLinux
OS X
LinuxFreeBSD
Linux
Windows infoexperimental
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyesnono
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
JDBC
ODBC
gRPC
JSON over HTTP
HTTP API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnoJava Stored Proceduresnono
Triggersyesnoyes, watching key changesyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingMulti-source replication between multi datacentersUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
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
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDnono
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.yesnonono
User concepts infoAccess controlAccess rights for users can be defined per objectfine grained access rights according to SQL-standardnosimple authentication-based access control
More information provided by the system vendor
Datastax EnterpriseEsgynDBetcdTempoIQ infoformerly TempoDB
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...
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Licensing and pricing modelsAnnual subscription
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Datastax EnterpriseEsgynDBetcdTempoIQ infoformerly TempoDB
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