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DBMS > Apache Impala vs. Apache IoTDB vs. Databricks vs. HyperSQL

System Properties Comparison Apache Impala vs. Apache IoTDB vs. Databricks vs. HyperSQL

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonApache IoTDB  Xexclude from comparisonDatabricks  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkThe 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.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDB
Primary database modelRelational DBMSTime Series DBMSDocument store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Websiteimpala.apache.orgiotdb.apache.orgwww.databricks.comhsqldb.org
Technical documentationimpala.apache.org/­impala-docs.htmliotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.databricks.comhsqldb.org/­web/­hsqlDocsFrame.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software FoundationDatabricks
Initial release2013201820132001
Current release4.1.0, June 20221.1.0, April 20232.7.2, June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialOpen Source infobased on BSD license
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava
Server operating systemsLinuxAll OS with a Java VM (>= 1.8)hostedAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modes
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagewith Databricks SQLyes
APIs and other access methodsJDBC
ODBC
JDBC
Native API
JDBC
ODBC
RESTful HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
Java
Python
Scala
Python
R
Scala
All languages supporting JDBC/ODBC
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesuser defined functions and aggregatesJava, SQL
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceIntegration with Hadoop and Sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyesfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache ImpalaApache IoTDBDatabricksHyperSQL infoalso known as HSQLDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache ImpalaApache IoTDBDatabricksHyperSQL infoalso known as HSQLDB
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