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DBMS > Apache Impala vs. Microsoft Azure Table Storage vs. OrigoDB vs. TinkerGraph vs. XTDB

System Properties Comparison Apache Impala vs. Microsoft Azure Table Storage vs. OrigoDB vs. TinkerGraph vs. XTDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOrigoDB  Xexclude from comparisonTinkerGraph  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA Wide Column Store for rapid development using massive semi-structured datasetsA fully ACID in-memory object graph databaseA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSWide column storeDocument store
Object oriented DBMS
Graph DBMSDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websiteimpala.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tablesorigodb.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlingithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationimpala.apache.org/­impala-docs.htmlorigodb.com/­docswww.xtdb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMicrosoftRobert Friberg et alJuxt Ltd.
Initial release201320122009 infounder the name LiveDB20092019
Current release4.1.0, June 20221.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen SourceOpen Source infoApache 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#JavaClojure
Server operating systemsLinuxhostedLinux
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyesyes, extensible-data-notation format
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.nonono infocan be achieved using .NETnono
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnononolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
RESTful HTTP API.NET Client API
HTTP API
LINQ
TinkerPop 3HTTP REST
JDBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.NetGroovy
Java
Clojure
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesnono
Triggersnonoyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning infoclient side managed; servers are not synchronizednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonodepending on modelyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logoptionalyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights based on private key authentication or shared access signaturesRole based authorizationno

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More resources
Apache ImpalaMicrosoft Azure Table StorageOrigoDBTinkerGraphXTDB infoformerly named Crux
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