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DBMS > Apache Impala vs. ObjectBox vs. Quasardb vs. Spark SQL vs. TigerGraph

System Properties Comparison Apache Impala vs. ObjectBox vs. Quasardb vs. Spark SQL vs. TigerGraph

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonObjectBox  Xexclude from comparisonQuasardb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopExtremely fast embedded database for small devices, IoT and MobileDistributed, high-performance timeseries databaseSpark SQL is a component on top of 'Spark Core' for structured data processingA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSObject oriented DBMSTime Series DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websiteimpala.apache.orgobjectbox.ioquasar.aispark.apache.org/­sqlwww.tigergraph.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.objectbox.iodoc.quasar.ai/­masterspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tigergraph.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaObjectBox LimitedquasardbApache Software Foundation
Initial release20132017200920142017
Current release4.1.0, June 20223.14.1, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache License 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++C++ScalaC++
Server operating systemsLinuxAndroid
iOS
Linux
macOS
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Linux
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyesyes
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.nonononono
Secondary indexesyesyesyes infowith tagsno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query languageSQL-like DML and DDL statementsSQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
Proprietary native APIHTTP APIJDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenononoyes
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoconsistent hashingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoronline/offline synchronization between client and serverSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenowith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modenono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosyesCryptographically strong user authentication and audit trailnoRole-based access control
More information provided by the system vendor
Apache ImpalaObjectBoxQuasardbSpark SQLTigerGraph
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More resources
Apache ImpalaObjectBoxQuasardbSpark SQLTigerGraph
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