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DBMS > Ignite vs. Manticore Search vs. Microsoft Azure Table Storage vs. Sequoiadb

System Properties Comparison Ignite vs. Manticore Search vs. Microsoft Azure Table Storage vs. Sequoiadb

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSequoiadb  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.Multi-storage database for search, including full-text search.A Wide Column Store for rapid development using massive semi-structured datasetsNewSQL database with distributed OLTP and SQL
Primary database modelKey-value store
Relational DBMS
Search engineWide column storeDocument store
Relational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
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
Score0.29
Rank#302  Overall
#21  Search engines
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websiteignite.apache.orgmanticoresearch.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.sequoiadb.com
Technical documentationapacheignite.readme.io/­docsmanual.manticoresearch.comwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software FoundationManticore SoftwareMicrosoftSequoiadb Ltd.
Initial release2015201720122013
Current releaseApache Ignite 2.66.0, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version 2commercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetC++C++
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Windows
hostedLinux
Data schemeyesFixed schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes infooid, date, timestamp, binary, regex
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.yesCan index from XMLnono
Secondary indexesyesyes infofull-text index on all search fieldsnoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languagenoSQL-like query language
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIproprietary protocol using JSON
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)user defined functionsnoJavaScript
Triggersyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Synchronous replication based on Galera libraryyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica 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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesoptimistic lockingDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlSecurity Hooks for custom implementationsnoAccess rights based on private key authentication or shared access signaturessimple password-based access control

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More resources
IgniteManticore SearchMicrosoft Azure Table StorageSequoiadb
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