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DBMS > Datastax Enterprise vs. InfinityDB vs. InfluxDB

System Properties Comparison Datastax Enterprise vs. InfinityDB vs. InfluxDB

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonInfinityDB  Xexclude from comparisonInfluxDB  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.A Java embedded Key-Value Store which extends the Java Map interfaceDBMS for storing time series, events and metrics
Primary database modelWide column storeKey-value storeTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.63
Rank#42  Overall
#4  Wide column stores
Score0.10
Rank#286  Overall
#47  Key-value stores
Score18.65
Rank#33  Overall
#1  Time Series DBMS
Websitewww.datastax.com/­products/­datastax-enterpriseboilerbay.comwww.influxdata.com/­time-series-platform/­influxdb
Technical documentationdocs.datastax.comboilerbay.com/­infinitydb/­manualdocs.influxdata.com/­influxdb
DeveloperDataStaxBoiler Bay Inc.
Initial release201120022013
Current release6.7, December 20184.01.7.6, April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT-License; commercial enterprise version available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGo
Server operating systemsLinux
OS X
All OS with a Java VMLinux
OS X infothrough Homebrew
Data schemeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysNumeric data and Strings
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.nonono
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoSQL-like query language
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP API
JSON over UDP
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnonono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"noneSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingnoneselectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Immediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACID infoOptimistic locking for transactions; no isolation for bulk loadsno
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.yesnoyes infoDepending on used storage engine
User concepts infoAccess controlAccess rights for users can be defined per objectnosimple rights management via user accounts
More information provided by the system vendor
Datastax EnterpriseInfinityDBInfluxDB
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
InfluxData includes the open source time-series database InfluxDB . It supports high...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
Time to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
IoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
InfluxData , the creator of InfluxDB, delivers a modern Open Source Platform built...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Fastest growing database to garnish 14,018 github stars Over 148,000 servers deployed...
» more
Licensing and pricing modelsAnnual subscription
» more
Open source core with closed source clustering available either on-premise or on...
» more

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More resources
Datastax EnterpriseInfinityDBInfluxDB
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