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DBMS > Apache Impala vs. Databricks vs. NuoDB vs. PlanetScale vs. ToroDB

System Properties Comparison Apache Impala vs. Databricks vs. NuoDB vs. PlanetScale vs. ToroDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatabricks  Xexclude from comparisonNuoDB  Xexclude from comparisonPlanetScale  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopThe 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 transactionsScalable, distributed, serverless MySQL database platform built on top of VitessA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMSRelational DBMSDocument store
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Websiteimpala.apache.orgwww.databricks.comwww.3ds.com/­nuodb-distributed-sql-databaseplanetscale.comgithub.com/­torodb/­server
Technical documentationimpala.apache.org/­impala-docs.htmldocs.databricks.comdoc.nuodb.complanetscale.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDatabricksDassault Systèmes infooriginally NuoDB, Inc.PlanetScale8Kdata
Initial release20132013201320202016
Current release4.1.0, June 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infolimited edition freecommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++GoJava
Server operating systemsLinuxhostedhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Docker
Linux
macOS
All OS with a Java 7 VM
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, integer, double, boolean, date, object_id
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.noyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementswith Databricks SQLyesyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCPython
R
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions and aggregatesJava, SQLyes infoproprietary syntax
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingdata is dynamically stored/cached on the nodes where it is read/writtenShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes infoManaged transparently by NuoDBMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infotunable commit protocolACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes infotable locks or row locks depending on storage engineyes
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.nonoyes infoTemporary tableyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosStandard SQL roles/ privileges, Administrative UsersUsers with fine-grained authorization concept infono user groups or rolesAccess rights for users and roles
More information provided by the system vendor
Apache ImpalaDatabricksNuoDBPlanetScaleToroDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache ImpalaDatabricksNuoDBPlanetScaleToroDB
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