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DBMS > Datomic vs. Ignite vs. Lovefield vs. Manticore Search vs. SiteWhere

System Properties Comparison Datomic vs. Ignite vs. Lovefield vs. Manticore Search vs. SiteWhere

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonIgnite  Xexclude from comparisonLovefield  Xexclude from comparisonManticore Search  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityApache 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 relational database for web apps written in pure JavaScriptMulti-storage database for search, including full-text search.M2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSSearch engineTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitewww.datomic.comignite.apache.orggoogle.github.io/­lovefieldmanticoresearch.comgithub.com/­sitewhere/­sitewhere
Technical documentationdocs.datomic.comapacheignite.readme.io/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdmanual.manticoresearch.comsitewhere1.sitewhere.io/­index.html
DeveloperCognitectApache Software FoundationGoogleManticore SoftwareSiteWhere
Initial release20122015201420172010
Current release1.0.6735, June 2023Apache Ignite 2.62.1.12, February 20176.0, February 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoGPL version 2Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++, Java, .NetJavaScriptC++Java
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesyesyesFixed schemapredefined scheme
Typing infopredefined data types such as float or dateyesyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.noyesnoCan index from XMLno
Secondary indexesyesyesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like query language infovia JavaScript builder patternSQL-like query languageno
APIs and other access methodsRESTful HTTP APIHDFS 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
HTTP REST
Supported programming languagesClojure
Java
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScriptElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes (compute grid and cache interceptors can be used instead)nouser defined functions
TriggersBy using transaction functionsyes (cache interceptors and events)Using read-only observersno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes (replicated cache)noneSynchronous replication based on Galera libraryselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyes infousing MemoryDBno
User concepts infoAccess controlnoSecurity Hooks for custom implementationsnonoUsers with fine-grained authorization concept

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More resources
DatomicIgniteLovefieldManticore SearchSiteWhere
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