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DBMS > Ignite vs. ScyllaDB vs. VoltDB

System Properties Comparison Ignite vs. ScyllaDB vs. VoltDB

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonScyllaDB  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Cassandra and DynamoDB compatible wide column storeDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelKey-value store
Relational DBMS
Key-value store
Wide column store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.43
Rank#62  Overall
#8  Key-value stores
#34  Relational DBMS
Score3.93
Rank#86  Overall
#14  Key-value stores
#6  Wide column stores
Score1.72
Rank#131  Overall
#66  Relational DBMS
Websiteignite.apache.orgwww.scylladb.comwww.voltdb.com
Technical documentationapacheignite.readme.io/­docsdocs.scylladb.comdocs.voltdb.com
DeveloperApache Software FoundationScyllaDBVoltDB Inc.
Initial release201520152010
Current releaseApache Ignite 2.6Scylla Open Source 4.5, October 202110.1, October 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoOpen Source (AGPL), commercial license availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
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.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC++, Java, .NetC++Java, C++
Server operating systemsLinux
OS X
Solaris
Windows
LinuxLinux
OS X infofor development
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesno
Secondary indexesyesyes infocluster global secondary indicesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statements (CQL)yes infoonly a subset of SQL 99
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
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
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes, LuaJava
Triggersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replication
Source-replica replication
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 ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoin-memory tables
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users can be defined per objectUsers and roles with access to stored procedures
More information provided by the system vendor
IgniteScyllaDBVoltDB
Specific characteristicsScylla is a highly-available, highly-scalable, highly-performant NoSQL database....
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosAdTech ( AdGear , AppMonet , Dstillery , FullContact , MediaMath , Numberly , SAS...
» more
Key customersComcast, Grab, OlaCabs, Yahoo! Japan, IMVU, Adgear, Xandr, Zenly, Natura, Snapfish,...
» more
Licensing and pricing modelsScylla Open Source - free open source software (AGPL) Scylla Enterprise - subscription-based...
» more

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More resources
IgniteScyllaDBVoltDB
Conferences and events

Scylla Summit 2022
Virtual Conference, 9-10 February 2022

Finished events

P99 CONF - Cross-Industry Event on All Things P99
Virtual Conference, 6-7 October 2021 (finished)

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