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DBMS > atoti vs. Databricks vs. Qdrant vs. SWC-DB

System Properties Comparison atoti vs. Databricks vs. Qdrant vs. SWC-DB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDatabricks  Xexclude from comparisonQdrant  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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.A high-performance vector database with neural network or semantic-based matchingA high performance, scalable Wide Column DBMS
Primary database modelObject oriented DBMSDocument store
Relational DBMS
Vector DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#11  Object oriented DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.28
Rank#167  Overall
#8  Vector DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websiteatoti.iowww.databricks.comgithub.com/­qdrant/­qdrant
qdrant.tech
github.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.atoti.iodocs.databricks.comqdrant.tech/­documentation
DeveloperActiveViamDatabricksQdrantAlex Kashirin
Initial release201320212020
Current release0.5, April 2021
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache Version 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRustC++
Server operating systemshostedDocker
Linux
macOS
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or dateNumbers, Strings, Geo, Boolean
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 indexesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLMultidimensional Expressions (MDX)with Databricks SQLnoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Proprietary protocol
Thrift
Supported programming languagesPython
R
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C++
Server-side scripts infoStored proceduresPythonuser defined functions and aggregatesno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency, tunable consistencyImmediate Consistency
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlKey-based authentication
More information provided by the system vendor
atotiDatabricksQdrantSWC-DB infoSuper Wide Column Database
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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atotiDatabricksQdrantSWC-DB infoSuper Wide Column Database
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