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DBMS > Databricks vs. QuestDB vs. SpatiaLite

System Properties Comparison Databricks vs. QuestDB vs. SpatiaLite

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonQuestDB  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionThe 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 open source SQL database for time series dataSpatial extension of SQLite
Primary database modelDocument store
Relational DBMS
Time Series DBMSSpatial DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websitewww.databricks.comquestdb.iowww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.databricks.comquestdb.io/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperDatabricksQuestDB Technology IncAlessandro Furieri
Initial release201320142008
Current release5.0.0, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava (Zero-GC), C++, RustC++
Server operating systemshostedLinux
macOS
Windows
server-less
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes infoschema-free via InfluxDB Line Protocolyes
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 indexesyesnoyes
SQL infoSupport of SQLwith Databricks SQLSQL with time-series extensionsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesPython
R
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresuser defined functions and aggregatesnono
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication with eventual consistencynone
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 integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyes infothrough memory mapped filesyes
User concepts infoAccess controlno
More information provided by the system vendor
DatabricksQuestDBSpatiaLite
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DatabricksQuestDBSpatiaLite
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Recent citations in the news

Databricks acquires data optimization startup Tabular in fresh challenge to Snowflake
4 June 2024, CNBC

Databricks buys Tabular to win the Iceberg war – Blocks and Files
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Exclusive | Databricks to Buy Data-Management Startup Tabular in Bid for AI Clients
4 June 2024, The Wall Street Journal

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