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DBMS > Databricks vs. Hyprcubd vs. Newts vs. OrigoDB

System Properties Comparison Databricks vs. Hyprcubd vs. Newts vs. OrigoDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHyprcubd  Xexclude from comparisonNewts  Xexclude from comparisonOrigoDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Serverless Time Series DBMSTime Series DBMS based on CassandraA fully ACID in-memory object graph database
Primary database modelDocument store
Relational DBMS
Time Series DBMSTime Series DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitewww.databricks.comhyprcubd.com (offline)opennms.github.io/­newtsorigodb.com
Technical documentationdocs.databricks.comgithub.com/­OpenNMS/­newts/­wikiorigodb.com/­docs
DeveloperDatabricksHyprcubd, Inc.OpenNMS GroupRobert Friberg et al
Initial release201320142009 infounder the name LiveDB
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC#
Server operating systemshostedhostedLinux
OS X
Windows
Linux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesyesnonoyes
SQL infoSupport of SQLwith Databricks SQLSQL-like query languagenono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC (https)HTTP REST
Java API
.NET Client API
HTTP API
LINQ
Supported programming languagesPython
R
Scala
Java.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonoyes
Triggersnonoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controltoken accessnoRole based authorization
More information provided by the system vendor
DatabricksHyprcubdNewtsOrigoDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksHyprcubdNewtsOrigoDB
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