DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Databricks vs. EXASOL vs. Hive vs. OpenTSDB vs. SiriDB

System Properties Comparison Databricks vs. EXASOL vs. Hive vs. OpenTSDB vs. SiriDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEXASOL  Xexclude from comparisonHive  Xexclude from comparisonOpenTSDB  Xexclude from comparisonSiriDB  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.High-performance, in-memory, MPP database specifically designed for in-memory analytics.data warehouse software for querying and managing large distributed datasets, built on HadoopScalable Time Series DBMS based on HBaseOpen Source Time Series DBMS
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSTime Series DBMSTime Series 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
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Websitewww.databricks.comwww.exasol.comhive.apache.orgopentsdb.netsiridb.com
Technical documentationdocs.databricks.comwww.exasol.com/­resourcescwiki.apache.org/­confluence/­display/­Hive/­Homeopentsdb.net/­docs/­build/­html/­index.htmldocs.siridb.com
DeveloperDatabricksExasolApache Software Foundation infoinitially developed by Facebookcurrently maintained by Yahoo and other contributorsCesbit
Initial release20132000201220112017
Current release3.1.3, April 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2Open Source infoLGPLOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC
Server operating systemshostedAll OS with a Java VMLinux
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnumeric data for metrics, strings for tagsyes infoNumeric data
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.yesnonono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLyesSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
Thrift
HTTP API
Telnet API
HTTP API
Supported programming languagesPython
R
Scala
Java
Lua
Python
R
C++
Java
PHP
Python
Erlang
Go
Java
Python
R
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsyes infouser defined functions and integration of map-reducenono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorselectable replication factor infobased on HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
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.noyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and rolesnosimple rights management via user accounts
More information provided by the system vendor
DatabricksEXASOLHiveOpenTSDBSiriDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
DatabricksEXASOLHiveOpenTSDBSiriDB
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2023
2 January 2024, Matthias Gelbmann, Paul Andlinger

show all

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

show all

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

show all

Recent citations in the news

Exclusive | Databricks to Buy Data-Management Startup Tabular in Bid for AI Clients
4 June 2024, The Wall Street Journal

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

Databricks' $1B Tabular buy raises questions around table format wars
5 June 2024, The Register

Databricks CEO Ali Ghodsi on Snowflake rivalry and the 'why' behind Databricks' latest billion-dollar deal
5 June 2024, Yahoo Finance

Databricks buys Tabular to win the Iceberg war – Blocks and Files
5 June 2024, Blocks and Files

provided by Google News

It's Back to the Database Future for Exasol CEO Tewes
26 October 2023, Datanami

Exasol Finds AI Underinvestment Leads to Business Failure, But Data Challenges Stall Rapid Adoption
20 March 2024, Business Wire

Mathias Golombek, Chief Technology Officer of Exasol – Interview Series
21 May 2024, Unite.AI

Exasol gets jolt of AI with Espresso suite of capabilities
26 February 2024, TechTarget

Exasol Unveils New Suite of AI Tools to Turbocharge Enterprise Data Analytics
21 February 2024, Business Wire

provided by Google News

Apache Software Foundation Announces Apache Hive 4.0
30 April 2024, Datanami

Run Apache Hive workloads using Spark SQL with Amazon EMR on EKS | Amazon Web Services
18 October 2023, AWS Blog

ASF Unveils the Next Evolution of Big Data Processing With the Launch of Hive 4.0
2 May 2024, Datanami

18 Top Big Data Tools and Technologies to Know About in 2024
24 January 2024, TechTarget

GC Tuning for Improved Presto Reliability
11 January 2024, Uber

provided by Google News

Pinterest Switches from OpenTSDB to Their Own Time Series Database
16 September 2018, InfoQ.com

Brain Monitoring with Kafka, OpenTSDB, and Grafana
5 August 2016, KDnuggets

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

MapR to help admins peer into dense Hadoop clusters
28 June 2016, SiliconANGLE News

LogicMonitor Rolls a Time Series Database for Finer-Grain Reporting
1 June 2016, The New Stack

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here