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DBMS > Apache Impala vs. BigchainDB vs. Brytlyt

System Properties Comparison Apache Impala vs. BigchainDB vs. Brytlyt

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBigchainDB  Xexclude from comparisonBrytlyt  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQL
Primary database modelRelational DBMSDocument storeRelational 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
Score0.79
Rank#212  Overall
#36  Document stores
Score0.29
Rank#288  Overall
#131  Relational DBMS
Websiteimpala.apache.orgwww.bigchaindb.combrytlyt.io
Technical documentationimpala.apache.org/­impala-docs.htmlbigchaindb.readthedocs.io/­en/­latestdocs.brytlyt.io
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBrytlyt
Initial release201320162016
Current release4.1.0, June 20225.0, August 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoAGPL v3commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++PythonC, C++ and CUDA
Server operating systemsLinuxLinuxLinux
OS X
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
CLI Client
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages supporting JDBC/ODBCGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions infoin PL/pgSQL
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factorSource-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 Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyesfine grained access rights according to SQL-standard

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More resources
Apache ImpalaBigchainDBBrytlyt
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