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DBMS > Ignite vs. LevelDB vs. NSDb vs. Riak KV

System Properties Comparison Ignite vs. LevelDB vs. NSDb vs. Riak KV

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonLevelDB  Xexclude from comparisonNSDb  Xexclude from comparisonRiak KV  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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesDistributed, fault tolerant key-value store
Primary database modelKey-value store
Relational DBMS
Key-value storeTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websiteignite.apache.orggithub.com/­google/­leveldbnsdb.io
Technical documentationapacheignite.readme.io/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdnsdb.io/­Architecturewww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software FoundationGoogleOpenSource, formerly Basho Technologies
Initial release2015201120172009
Current releaseApache Ignite 2.61.23, February 20213.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDOpen Source infoApache Version 2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetC++Java, ScalaErlang
Server operating systemsLinux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
Linux
macOS
Linux
OS X
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes: int, bigint, decimal, stringno
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 indexesyesnoall fields are automatically indexedrestricted
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSQL-like query languageno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC
HTTP REST
WebSocket
HTTP API
Native Erlang Interface
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nonoErlang
Triggersyes (cache interceptors and events)noyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)noneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlSecurity Hooks for custom implementationsnoyes, using Riak Security

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More resources
IgniteLevelDBNSDbRiak KV
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