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DBMS > atoti vs. Databricks vs. Newts vs. OrigoDB

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

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDatabricks  Xexclude from comparisonNewts  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.The 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.Time Series DBMS based on CassandraA fully ACID in-memory object graph database
Primary database modelObject oriented DBMSDocument store
Relational DBMS
Time Series DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
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
Websiteatoti.iowww.databricks.comopennms.github.io/­newtsorigodb.com
Technical documentationdocs.atoti.iodocs.databricks.comgithub.com/­OpenNMS/­newts/­wikiorigodb.com/­docs
DeveloperActiveViamDatabricksOpenNMS GroupRobert Friberg et al
Initial release201320142009 infounder the name LiveDB
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#
Server operating systemshostedLinux
OS X
Windows
Linux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyesUser 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.yesnono infocan be achieved using .NET
Secondary indexesyesnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)with Databricks SQLnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST
Java API
.NET Client API
HTTP API
LINQ
Supported programming languagesPython
R
Scala
Java.Net
Server-side scripts infoStored proceduresPythonuser defined functions and aggregatesnoyes
Triggersnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding 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 Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlnoRole based authorization
More information provided by the system vendor
atotiDatabricksNewtsOrigoDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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atotiDatabricksNewtsOrigoDB
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