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DBMS > atoti vs. Databricks vs. Newts vs. Oracle Coherence

System Properties Comparison atoti vs. Databricks vs. Newts vs. Oracle Coherence

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDatabricks  Xexclude from comparisonNewts  Xexclude from comparisonOracle Coherence  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 CassandraOracles in-memory data grid solution
Primary database modelObject oriented DBMSDocument store
Relational DBMS
Time Series DBMSKey-value store
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
Score1.92
Rank#130  Overall
#22  Key-value stores
Websiteatoti.iowww.databricks.comopennms.github.io/­newtswww.oracle.com/­java/­coherence
Technical documentationdocs.atoti.iodocs.databricks.comgithub.com/­OpenNMS/­newts/­wikidocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperActiveViamDatabricksOpenNMS GroupOracle
Initial release201320142007
Current release14.1, August 2023
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VM
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyesnono
SQL infoSupport of SQLMultidimensional Expressions (MDX)with Databricks SQLnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST
Java API
JCache
JPA
RESTful HTTP API
Supported programming languagesPython
R
Scala
Java.Net
C++
Java
Server-side scripts infoStored proceduresPythonuser defined functions and aggregatesnono
Triggersnoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandrayes, with selectable consistency level
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
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoconfigurable
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlnoauthentification to access the cache via certificates or http basic authentication
More information provided by the system vendor
atotiDatabricksNewtsOracle Coherence
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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atotiDatabricksNewtsOracle Coherence
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