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DBMS > Apache Impala vs. FatDB vs. Galaxybase vs. Quasardb vs. TigerGraph

System Properties Comparison Apache Impala vs. FatDB vs. Galaxybase vs. Quasardb vs. TigerGraph

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFatDB  Xexclude from comparisonGalaxybase  Xexclude from comparisonQuasardb  Xexclude from comparisonTigerGraph  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionAnalytic DBMS for HadoopA .NET NoSQL DBMS that can integrate with and extend SQL Server.Scalable, ACID-compliant native distributed parallel graph platformDistributed, high-performance timeseries databaseA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSDocument store
Key-value store
Graph DBMSTime Series DBMSGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.07
Rank#377  Overall
#40  Graph DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websiteimpala.apache.orggalaxybase.comquasar.aiwww.tigergraph.com
Technical documentationimpala.apache.org/­impala-docs.htmldoc.quasar.ai/­masterdocs.tigergraph.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaFatCloudChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司quasardb
Initial release20132012201720092017
Current release4.1.0, June 2022Nov 20, November 20213.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
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 JavaC++C++
Server operating systemsLinuxWindowsLinuxBSD
Linux
OS X
Windows
Linux
Data schemeyesschema-freeStrong typed schemaschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryyes
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.nononono
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLSQL-like DML and DDL statementsno infoVia inetgration in SQL ServernoSQL-like query languageSQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
HTTP APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCC#Go
Java
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infovia applicationsuser defined procedures and functionsnoyes
Triggersnoyes infovia applicationsnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factorSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnowith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosno infoCan implement custom security layer via applicationsRole-based access controlCryptographically strong user authentication and audit trailRole-based access control

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More resources
Apache ImpalaFatDBGalaxybaseQuasardbTigerGraph
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