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DBMS > BigObject vs. Ignite vs. InfluxDB vs. Sqrrl

System Properties Comparison BigObject vs. Ignite vs. InfluxDB vs. Sqrrl

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonIgnite  Xexclude from comparisonInfluxDB  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for real-time computations and queriesApache 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 metricsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value store
Relational DBMS
Time Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Websitebigobject.ioignite.apache.orgwww.influxdata.com/­products/­influxdb-overviewsqrrl.com
Technical documentationdocs.bigobject.ioapacheignite.readme.io/­docsdocs.influxdata.com/­influxdb
DeveloperBigObject, Inc.Apache Software FoundationAmazon infooriginally Sqrrl Data, Inc.
Initial release2015201520132012
Current releaseApache Ignite 2.62.7.6, April 2024
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .NetGoJava
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Solaris
Windows
Linux
OS X infothrough Homebrew
Linux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyes
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 indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLSQL-like query languageno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
JSON over UDP
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresLuayes (compute grid and cache interceptors can be used instead)nono
Triggersnoyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoin enterprise version onlySharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)selectable replication factor infoin enterprise version onlyselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
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.yesyesyes infoDepending on used storage engine
User concepts infoAccess controlnoSecurity Hooks for custom implementationssimple rights management via user accountsCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
More information provided by the system vendor
BigObjectIgniteInfluxDBSqrrl
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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