DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Apache Drill vs. BigObject vs. Databricks vs. FatDB vs. Tibero

System Properties Comparison Apache Drill vs. BigObject vs. Databricks vs. FatDB vs. Tibero

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonBigObject  Xexclude from comparisonDatabricks  Xexclude from comparisonFatDB  Xexclude from comparisonTibero  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAnalytic DBMS for real-time computations and queriesThe 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.A .NET NoSQL DBMS that can integrate with and extend SQL Server.A secure RDBMS, designed for easy portability from Oracle
Primary database modelDocument store
Relational DBMS
Relational DBMS infoa hierachical model (tree) can be imposedDocument store
Relational DBMS
Document store
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websitedrill.apache.orgbigobject.iowww.databricks.comus.tmaxsoft.com/­products/­tibero
Technical documentationdrill.apache.org/­docsdocs.bigobject.iodocs.databricks.comtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperApache Software FoundationBigObject, Inc.DatabricksFatCloudTmaxSoft
Initial release20122015201320122003
Current release1.20.3, January 20236, April 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree community edition availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C and Assembler
Server operating systemsLinux
OS X
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedWindowsAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like DML and DDL statementswith Databricks SQLno infoVia inetgration in SQL Serveryes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
fluentd
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesC++Python
R
Scala
C#C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functionsLuauser defined functions and aggregatesyes infovia applicationsPersistent Stored Procedure (PSM)
Triggersnonoyes infovia applicationsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardinghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesnono infoplanned for next version
User concepts infoAccess controlDepending on the underlying data sourcenono infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standard (SQL 92, SQL 99)
More information provided by the system vendor
Apache DrillBigObjectDatabricksFatDBTibero
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
Apache DrillBigObjectDatabricksFatDBTibero
DB-Engines blog posts

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

show all

Recent citations in the news

Apache Drill vs. Apache Spark — Which SQL query engine is better for you?
23 September 2019, Towards Data Science

Apache Drill case study: A tutorial on processing CSV files
9 June 2016, TheServerSide.com

Apache Drill Poised to Crack Tough Data Challenges
19 May 2015, Datanami

Apache Drill Eliminates ETL, Data Transformation for MapR Database
11 April 2016, The New Stack

Drill Mines Diverse Data Sets, Google Style
20 May 2015, The Next Platform

provided by Google News

Databricks Data+AI Summit 2024: The Standout Vendors
13 June 2024, CRN

How businesses can use Databricks' new AI analytics program
13 June 2024, Yahoo Finance

Databricks is Taking the Ultimate Risk of Building 'USB for AI' – AIM
15 June 2024, Analytics India Magazine

Informatica and Databricks partner for enhances AI governance
14 June 2024, SiliconANGLE News

Shutterstock Hoping to Become What Apple Was to Napster in the AI Image Space
13 June 2024, PetaPixel

provided by Google News

ArkData to Officially Support Domestic Database 'Tibero 7'
23 April 2024, BusinessKorea

How to Succeed at Large-Scale Mainframe Replatforming with TmaxSoft OpenFrame on AWS | Amazon Web Services
2 August 2022, AWS Blog

TmaxSoft aims at becoming global leader in database business
26 March 2015, 코리아타임스

Hyundai and Kia Say Good-bye to Oracle and Choose Tmax as DBMS Vendor
13 June 2019, BusinessKorea

TmaxSoft shows resilience in battle against Oracle, IBM
13 October 2015, The Korea Herald

provided by Google News



Share this page

Featured Products

Milvus logo

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

Neo4j logo

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

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

Present your product here