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DBMS > Apache Kylin vs. Datomic vs. Informix vs. Lovefield vs. SiteWhere

System Properties Comparison Apache Kylin vs. Datomic vs. Informix vs. Lovefield vs. SiteWhere

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonDatomic  Xexclude from comparisonInformix  Xexclude from comparisonLovefield  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataEmbeddable relational database for web apps written in pure JavaScriptM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSRelational DBMSRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score17.12
Rank#34  Overall
#21  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitekylin.apache.orgwww.datomic.comwww.ibm.com/­products/­informixgoogle.github.io/­lovefieldgithub.com/­sitewhere/­sitewhere
Technical documentationkylin.apache.org/­docsdocs.datomic.cominformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsitewhere1.sitewhere.io/­index.html
DeveloperApache Software Foundation, originally contributed from eBay IncCognitectIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.GoogleSiteWhere
Initial release20152012198420142010
Current release3.1.0, July 20201.0.7075, December 202314.10.FC5, November 20202.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition freecommercial infofree developer edition availableOpen Source infoApache 2.0Open 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, ClojureC, C++ and JavaJavaScriptJava
Server operating systemsLinuxAll OS with a Java VMAIX
HP-UX
Linux
macOS
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Windows
Data schemeyesyesyesyespredefined scheme
Typing infopredefined data types such as float or dateyesyesyes infoSince Version 12.10 support for JSON/BSON datatypesyesyes
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.nononono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noyesSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
HTTP REST
Supported programming languagesClojure
Java
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesno
TriggersBy using transaction functionsyesUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
noneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyesyes infousing MemoryDBno
User concepts infoAccess controlnoUsers with fine-grained authentication, authorization, and auditing controlsnoUsers with fine-grained authorization concept

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More resources
Apache KylinDatomicInformixLovefieldSiteWhere
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