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DBMS > GridGain vs. IRONdb vs. ScyllaDB

System Properties Comparison GridGain vs. IRONdb vs. ScyllaDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonIRONdb  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityCassandra and DynamoDB compatible wide column store
Primary database modelKey-value store
Relational DBMS
Time Series DBMSKey-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.22
Rank#122  Overall
#23  Key-value stores
#59  Relational DBMS
Score0.09
Rank#315  Overall
#28  Time Series DBMS
Score2.59
Rank#109  Overall
#21  Key-value stores
#8  Wide column stores
Websitewww.gridgain.comwww.circonus.com/­solutions/­time-series-databasewww.scylladb.com
Technical documentationwww.gridgain.com/­docs/­latestdocs.circonus.com/­irondbdocs.scylladb.com
DeveloperGridGain Systems, Inc.Circonus LLC.ScyllaDB
Initial release200720172015
Current releaseGridGain 8.5.1V0.10.20, January 2018Scylla Open Source 4.0.0, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC and C++C++
Server operating systemsLinux
OS X
Solaris
Windows
LinuxLinux
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyes
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.yesnono
Secondary indexesyesnoyes infocluster global secondary indices
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like DML and DDL statements (CQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP APIProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes, in Luayes, Lua
Triggersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)configurable replication factor, datacenter awareselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoAtomicity and isolation are supported for single operations
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 infoin-memory tables
User concepts infoAccess controlSecurity Hooks for custom implementationsnoAccess rights for users can be defined per object
More information provided by the system vendor
GridGainIRONdbScyllaDB
Specific characteristicsIRONdb is a highly available, distributed Time Series Database. It can support dozens...
» more
Scylla is a highly-available, highly-scalable, highly-performant NoSQL database....
» more
Competitive advantagesUnmatched Scalability IRONdb is unique among TSDBs in that it does not use a consensus...
» more
Highly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosReal Systems Monitoring Monitor your systems infrastructure in real time across thousands...
» more
AdTech ( AdGear , Dstillery , MediaMath , Numberly , SAS , SteelHouse , Xandr) Customer...
» more
Key customersIRONdb serves the needs of the world's largest Time Series Database customers. One...
» more
Comcast, Grab, OlaCabs, Yahoo! Japan, IMVU, Adgear, Xandr, Zenly, Natura, Snapfish,...
» more
Market metricsOnly TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
» more
Licensing and pricing modelsIRONdb is licensed under a subscription model based on the number of active metrics...
» more
Scylla Open Source - free open source software (AGPL) Scylla Enterprise - subscription-based...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GridGainIRONdbScyllaDB
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