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DBMS > Kyligence Enterprise vs. Newts vs. OrigoDB vs. Spark SQL

System Properties Comparison Kyligence Enterprise vs. Newts vs. OrigoDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameKyligence Enterprise  Xexclude from comparisonNewts  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA distributed analytics engine for big data, built on top of Apache KylinTime Series DBMS based on CassandraA fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSTime Series DBMSDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitekyligence.io/­kyligence-enterpriseopennms.github.io/­newtsorigodb.comspark.apache.org/­sql
Technical documentationgithub.com/­OpenNMS/­newts/­wikiorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperKyligence, Inc.OpenNMS GroupRobert Friberg et alApache Software Foundation
Initial release201620142009 infounder the name LiveDB2014
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#Scala
Server operating systemsLinuxLinux
OS X
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes
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.nonono infocan be achieved using .NETno
Secondary indexesyesnoyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)nonoSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST
Java API
.NET Client API
HTTP API
LINQ
JDBC
ODBC
Supported programming languagesJava.NetJava
Python
R
Scala
Server-side scripts infoStored proceduresnoyesno
Triggersnoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlnoRole based authorizationno

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More resources
Kyligence EnterpriseNewtsOrigoDBSpark SQL
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