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DBMS > Datastax Enterprise vs. Ignite vs. InfluxDB

System Properties Comparison Datastax Enterprise vs. Ignite vs. InfluxDB

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonIgnite  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.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.DBMS for storing time series, events and metrics
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
#37  Relational DBMS
Score19.62
Rank#33  Overall
#1  Time Series DBMS
Websitewww.datastax.com/­products/­datastax-enterpriseignite.apache.orgwww.influxdata.com/­time-series-platform/­influxdb
Technical documentationdocs.datastax.comapacheignite.readme.io/­docsdocs.influxdata.com/­influxdb
DeveloperDataStaxApache Software Foundation
Initial release201120152013
Current release6.7, December 2018Apache Ignite 2.61.7.8, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open 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 languageJavaC++, Java, .NetGo
Server operating systemsLinux
OS X
Linux
OS X
Solaris
Windows
Linux
OS X infothrough Homebrew
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric 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.noyesno
Secondary indexesyesyesno
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
JSON over UDP
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
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 infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingyes (replicated cache)selectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)no
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
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDno
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 infoDepending on used storage engine
User concepts infoAccess controlAccess rights for users can be defined per objectSecurity Hooks for custom implementationssimple rights management via user accounts
More information provided by the system vendor
Datastax EnterpriseIgniteInfluxDB
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» 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 has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Fastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» 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 EnterpriseIgniteInfluxDB
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