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DBMS > Apache Impala vs. Brytlyt vs. Cloudflare Workers KV vs. EJDB vs. RDFox

System Properties Comparison Apache Impala vs. Brytlyt vs. Cloudflare Workers KV vs. EJDB vs. RDFox

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBrytlyt  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonEJDB  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Embeddable document-store database library with JSON representation of queries (in MongoDB style)High performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSRelational DBMSKey-value storeDocument storeGraph DBMS
RDF store
Secondary database modelsDocument storeRelational 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
Score0.39
Rank#274  Overall
#39  Key-value stores
Score0.31
Rank#296  Overall
#44  Document stores
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websiteimpala.apache.orgbrytlyt.iowww.cloudflare.com/­developer-platform/­workers-kvgithub.com/­Softmotions/­ejdbwww.oxfordsemantic.tech
Technical documentationimpala.apache.org/­impala-docs.htmldocs.brytlyt.iodevelopers.cloudflare.com/­kv/­apigithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.oxfordsemantic.tech
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBrytlytCloudflareSoftmotionsOxford Semantic Technologies
Initial release20132016201820122017
Current release4.1.0, June 20225.0, August 20236.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoGPLv2commercial
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, C++ and CUDACC++
Server operating systemsLinuxLinux
OS X
Windows
hostedserver-lessLinux
macOS
Windows
Data schemeyesyesschema-freeschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesnoyes infostring, integer, double, bool, date, object_idyes
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 statementsyesnonono
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
Proprietary protocol
in-process shared libraryRESTful HTTP API
SPARQL 1.1
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions infoin PL/pgSQLnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyesnonereplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynoyesnono infotypically not needed, however similar functionality with collection joins possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoRead/Write Locking
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.nonoyes
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 types

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More resources
Apache ImpalaBrytlytCloudflare Workers KVEJDBRDFox
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