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DBMS > atoti vs. Databricks vs. YugabyteDB

System Properties Comparison atoti vs. Databricks vs. YugabyteDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDatabricks  Xexclude from comparisonYugabyteDB  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.High-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelObject oriented DBMSDocument store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.47
Rank#251  Overall
#12  Object oriented DBMS
Score87.68
Rank#13  Overall
#2  Document stores
#9  Relational DBMS
Score2.45
Rank#107  Overall
#53  Relational DBMS
Websiteatoti.iowww.databricks.comwww.yugabyte.com
Technical documentationdocs.atoti.iodocs.databricks.comdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperActiveViamDatabricksYugabyte Inc.
Initial release20132017
Current release2.19, September 2023
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++
Server operating systemshostedLinux
OS X
Data schemeFlexible Schema (defined schema, partial schema, schema free)depending on used data model
Typing infopredefined data types such as float or dateyes
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 indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)with Databricks SQLyes, PostgreSQL compatible
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesPython
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresPythonuser defined functions and aggregatesyes infosql, plpgsql, C
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlyes
More information provided by the system vendor
atotiDatabricksYugabyteDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
atotiDatabricksYugabyteDB
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