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DBMS > atoti vs. Databricks vs. SwayDB

System Properties Comparison atoti vs. Databricks vs. SwayDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDatabricks  Xexclude from comparisonSwayDB  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.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelObject oriented DBMSDocument store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#242  Overall
#10  Object oriented DBMS
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score0.04
Rank#373  Overall
#57  Key-value stores
Websiteatoti.iowww.databricks.comswaydb.simer.au
Technical documentationdocs.atoti.iodocs.databricks.com
DeveloperActiveViamDatabricksSimer Plaha
Initial release20132018
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScala
Server operating systemshosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateno
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.yesno
Secondary indexesyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)with Databricks SQLno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Supported programming languagesPython
R
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresPythonuser defined functions and aggregatesno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlno
More information provided by the system vendor
atotiDatabricksSwayDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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atotiDatabricksSwayDB
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