DBMS > Databricks vs. IBM Cloudant
System Properties Comparison Databricks vs. IBM Cloudant
Please select another system to include it in the comparison.
Our visitors often compare Databricks and IBM Cloudant with MongoDB, Amazon DynamoDB and Microsoft Azure Cosmos DB.
|Editorial information provided by DB-Engines|
|Name||Databricks Xexclude from comparison||IBM Cloudant Xexclude from comparison|
|Description||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.||Database as a Service offering based on Apache CouchDB|
|Primary database model||Document store|
|Developer||Databricks||IBM, Apache Software Foundation IBM acquired Cloudant in February 2014|
|License Commercial or Open Source||Open Source||commercial|
|Cloud-based only Only available as a cloud service||yes||yes|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Server operating systems||hosted||hosted|
|Data scheme||Flexible Schema (defined schema, partial schema, schema free)||schema-free|
|Typing predefined data types such as float or date||no|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||yes||no|
|SQL Support of SQL||with Databricks SQL||no|
|APIs and other access methods||JDBC|
RESTful HTTP API
|RESTful HTTP/JSON API|
|Supported programming languages||Python|
|Partitioning methods Methods for storing different data on different nodes||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Eventual Consistency|
|Foreign keys Referential integrity||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||no atomic operations within a document possible|
|Concurrency Support for concurrent manipulation of data||yes||yes Optimistic locking|
|Durability Support for making data persistent||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no|
|User concepts Access control||Access rights for users can be defined per database|
More information provided by the system vendor
We invite representatives of system vendors to contact us for updating and extending the system information,
Related products and services
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Recent citations in the news|
Datometry Partners With Databricks to Accelerate Migrations from ...
Databricks invests in Catalyst, targeting the elusive customer ...
Databricks CEO on how to spot companies with an AI moat
Dell unveils Databricks deal, plus storage hits Apex cloud – Blocks ...
provided by Google News
IBM Expands Cloud Database Services with Kubernetes
IBM to Purchase Cloudant Database as a service (DBaaS) Provider
IBM Cloudant - Market Share, Competitor Insights in Database
Deploy a Database Web App with IBM Cloudant
provided by Google News
Spark (Databricks) Engineer – All Levels (REMOTE)
Data Engineer - HCE - Remote
Partner 6, Executive Assistant
Share this page