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DBMS > Apache Pinot vs. Brytlyt vs. Faircom EDGE vs. Hypertable vs. YDB

System Properties Comparison Apache Pinot vs. Brytlyt vs. Faircom EDGE vs. Hypertable vs. YDB

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonBrytlyt  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHypertable  Xexclude from comparisonYDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsAn open source BigTable implementation based on distributed file systems such as HadoopA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Wide column storeDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitepinot.apache.orgbrytlyt.iowww.faircom.com/­products/­faircom-edgegithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.pinot.apache.orgdocs.brytlyt.iodocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlydb.tech/­en/­docs
DeveloperApache Software Foundation and contributorsBrytlytFairCom CorporationHypertable Inc.Yandex
Initial release20152016197920092019
Current release1.0.0, September 20235.0, August 2023V3, October 20200.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infoRestricted, free version availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ and CUDAANSI C, C++C++
Server operating systemsAll OS with a Java JDK11 or higherLinux
OS X
Windows
Android
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)schema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesnoyes
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.yes infospecific XML-type available, but no XML query functionality.yesno
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSQL-like query languageyesyes infoANSI SQL queriesnoSQL-like query language (YQL)
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
C++ API
Thrift
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesGo
Java
Python
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C++
Java
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyes info.Net, JavaScript, C/C++nono
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningFile partitioning infoCustomizable business rules for partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factor on file system levelActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.noAccess rights defined for Yandex Cloud users

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More resources
Apache PinotBrytlytFaircom EDGE infoformerly c-treeEDGEHypertableYDB
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