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DBMS > Apache Impala vs. Databricks vs. Microsoft Azure Synapse Analytics vs. ToroDB vs. UniData,UniVerse

System Properties Comparison Apache Impala vs. Databricks vs. Microsoft Azure Synapse Analytics vs. ToroDB vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatabricks  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonToroDB  Xexclude from comparisonUniData,UniVerse  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.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA MongoDB-compatible JSON document store, built on top of PostgreSQLMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMSDocument storeMultivalue DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websiteimpala.apache.orgwww.databricks.comazure.microsoft.com/­services/­synapse-analyticsgithub.com/­torodb/­serverwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationimpala.apache.org/­impala-docs.htmldocs.databricks.comdocs.microsoft.com/­azure/­synapse-analyticsdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDatabricksMicrosoft8KdataRocket Software
Initial release20132013201620161985
Current release4.1.0, June 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoAGPL-V3commercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++JavaC
Server operating systemsLinuxhostedhostedAll OS with a Java 7 VMAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, boolean, date, object_idoptional
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
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesAll languages supporting JDBC/ODBCPython
R
Scala
C#
Java
PHP
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions and aggregatesTransact SQLyes
Triggersnononoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyesSource-replica replicationSource-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
Immediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosyesAccess rights for users and rolesAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
Apache ImpalaDatabricksMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseToroDBUniData,UniVerse
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache ImpalaDatabricksMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseToroDBUniData,UniVerse
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