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DBMS > Apache Impala vs. Brytlyt vs. EJDB vs. RDFox vs. TDengine

System Properties Comparison Apache Impala vs. Brytlyt vs. EJDB vs. RDFox vs. TDengine

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBrytlyt  Xexclude from comparisonEJDB  Xexclude from comparisonRDFox  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLEmbeddable document-store database library with JSON representation of queries (in MongoDB style)High performance knowledge graph and semantic reasoning engineTime Series DBMS and big data platform
Primary database modelRelational DBMSRelational DBMSDocument storeGraph DBMS
RDF store
Time Series DBMS
Secondary database modelsDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websiteimpala.apache.orgbrytlyt.iogithub.com/­Softmotions/­ejdbwww.oxfordsemantic.techgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.brytlyt.iogithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.oxfordsemantic.techdocs.tdengine.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBrytlytSoftmotionsOxford Semantic TechnologiesTDEngine, previously Taos Data
Initial release20132016201220172019
Current release4.1.0, June 20225.0, August 20236.0, Septermber 20223.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoGPLv2commercialOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++ and CUDACC++C
Server operating systemsLinuxLinux
OS X
Windows
server-lessLinux
macOS
Windows
Linux
Windows
Data schemeyesyesschema-freeyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, bool, date, object_idyesyes
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.noyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnonoStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
in-process shared libraryRESTful HTTP API
SPARQL 1.1
JDBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
Java
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions infoin PL/pgSQLnono
Triggersnoyesnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationnonereplication via a shared file systemyes
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 ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynoyesno infotypically not needed, however similar functionality with collection joins possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyes
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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardnoRoles, resources, and access typesyes
More information provided by the system vendor
Apache ImpalaBrytlytEJDBRDFoxTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
Apache ImpalaBrytlytEJDBRDFoxTDengine
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