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DBMS > Apache Impala vs. Blueflood vs. Brytlyt vs. Kinetica vs. TigerGraph

System Properties Comparison Apache Impala vs. Blueflood vs. Brytlyt vs. Kinetica vs. TigerGraph

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBlueflood  Xexclude from comparisonBrytlyt  Xexclude from comparisonKinetica  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopScalable TimeSeries DBMS based on CassandraScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLFully vectorized database across both GPUs and CPUsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websiteimpala.apache.orgblueflood.iobrytlyt.iowww.kinetica.comwww.tigergraph.com
Technical documentationimpala.apache.org/­impala-docs.htmlgithub.com/­rax-maas/­blueflood/­wikidocs.brytlyt.iodocs.kinetica.comdocs.tigergraph.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaRackspaceBrytlytKinetica
Initial release20132013201620122017
Current release4.1.0, June 20225.0, August 20237.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC, C++ and CUDAC, C++C++
Server operating systemsLinuxLinux
OS X
Linux
OS X
Windows
LinuxLinux
Data schemeyespredefined schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesSQL-like DML and DDL statementsSQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
HTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenouser defined functions infoin PL/pgSQLuser defined functionsyes
Triggersnonoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on CassandraSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnofine grained access rights according to SQL-standardAccess rights for users and roles on table levelRole-based access control

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More resources
Apache ImpalaBluefloodBrytlytKineticaTigerGraph
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