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DBMS > Apache Impala vs. BigObject vs. Brytlyt vs. Dolt

System Properties Comparison Apache Impala vs. BigObject vs. Brytlyt vs. Dolt

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBigObject  Xexclude from comparisonBrytlyt  Xexclude from comparisonDolt  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAnalytic DBMS for real-time computations and queriesScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA MySQL compatible DBMS with Git-like versioning of data and schema
Primary database modelRelational DBMSRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score1.02
Rank#191  Overall
#89  Relational DBMS
Websiteimpala.apache.orgbigobject.iobrytlyt.iogithub.com/­dolthub/­dolt
www.dolthub.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.bigobject.iodocs.brytlyt.iodocs.dolthub.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBigObject, Inc.BrytlytDoltHub Inc
Initial release2013201520162018
Current release4.1.0, June 20225.0, August 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree community edition availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++ and CUDAGo
Server operating systemsLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeyesyesyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBC
ODBC
fluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
CLI Client
HTTP REST
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Delphi
Java
Perl
Python
Tcl
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-reduceLuauser defined functions infoin PL/pgSQLyes infocurrently in alpha release
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneSource-replica replicationA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnofine grained access rights according to SQL-standardOnly one user is configurable, and must be specified in the config file at startup

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More resources
Apache ImpalaBigObjectBrytlytDolt
Recent citations in the news

Apache Impala becomes Top-Level Project
28 November 2017, SDTimes.com

Cloudera Bringing Impala to AWS Cloud
28 November 2017, Datanami

Apache Doris just 'graduated': Why care about this SQL data warehouse
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Hudi: Uber Engineering’s Incremental Processing Framework on Apache Hadoop
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Brytlyt releases version 5.0, introducing a more intuitive, intelligent and flexible analytics platform
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Brytlyt Secures $4M in Series A Funding
20 May 2020, Datanami

Bringing GPUs To Bear On Bog Standard Relational Databases
26 February 2018, The Next Platform

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22 December 2021, BusinessCloud

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19 August 2020, The New Stack

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10 February 2023, InfoQ.com

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