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DBMS > GridGain vs. Infobright vs. IRONdb vs. Qdrant

System Properties Comparison GridGain vs. Infobright vs. IRONdb vs. Qdrant

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonInfobright  Xexclude from comparisonIRONdb  Xexclude from comparisonQdrant  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA high-performance vector database with neural network or semantic-based matching
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score0.88
Rank#198  Overall
#92  Relational DBMS
Score1.53
Rank#145  Overall
#7  Vector DBMS
Websitewww.gridgain.comignitetech.com/­softwarelibrary/­infobrightdbwww.circonus.com/solutions/time-series-database/github.com/­qdrant/­qdrant
qdrant.tech
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.circonus.com/irondb/category/getting-startedqdrant.tech/­documentation
DeveloperGridGain Systems, Inc.Ignite Technologies Inc.; formerly InfoBright Inc.Circonus LLC.Qdrant
Initial release2007200520172021
Current releaseGridGain 8.5.1V0.10.20, January 2018
License infoCommercial or Open Sourcecommercial, open sourcecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercialOpen Source infoApache Version 2.0
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 languageJava, C++, .Net, Python, REST, SQLCC and C++Rust
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
Linux
Windows
LinuxDocker
Linux
macOS
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsNumbers, Strings, Geo, Boolean
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.yesnonono
Secondary indexesyesno infoKnowledge Grid Technology used insteadnoyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
HTTP APIgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyes, in Lua
Triggersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic, metric affinity per nodeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationconfigurable replication factor, datacenter awareCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency, tunable consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.yesyesnoyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
fine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesnoKey-based authentication

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More resources
GridGainInfobrightIRONdbQdrant
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