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DBMS > Databricks vs. NuoDB vs. PostgreSQL vs. QuestDB vs. RavenDB

System Properties Comparison Databricks vs. NuoDB vs. PostgreSQL vs. QuestDB vs. RavenDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonNuoDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonQuestDB  Xexclude from comparisonRavenDB  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.NuoDB is a webscale distributed database that supports SQL and ACID transactionsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA high performance open source SQL database for time series dataOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMSDocument store
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Relational DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitewww.databricks.comwww.3ds.com/­nuodb-distributed-sql-databasewww.postgresql.orgquestdb.ioravendb.net
Technical documentationdocs.databricks.comdoc.nuodb.comwww.postgresql.org/­docsquestdb.io/­docsravendb.net/­docs
DeveloperDatabricksDassault Systèmes infooriginally NuoDB, Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developerQuestDB Technology IncHibernating Rhinos
Initial release201320131989 info1989: Postgres, 1996: PostgreSQL20142010
Current release16.3, May 20245.4, July 2022
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoBSDOpen Source infoApache 2.0Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJava (Zero-GC), C++, RustC#
Server operating systemshostedhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
macOS
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLyesyes infostandard with numerous extensionsSQL with time-series extensionsSQL-like query language (RQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesPython
R
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava, SQLuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesdata is dynamically stored/cached on the nodes where it is read/writtenpartitioning by range, list and (since PostgreSQL 11) by hashhorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoManaged transparently by NuoDBSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication with eventual consistencyMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infotunable commit protocolACIDACID for single-table writesACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTemporary tablenoyes infothrough memory mapped files
User concepts infoAccess controlStandard SQL roles/ privileges, Administrative Usersfine grained access rights according to SQL-standardAuthorization levels configured per client per database
More information provided by the system vendor
DatabricksNuoDBPostgreSQLQuestDBRavenDB
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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