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DBMS > Apache Impala vs. Microsoft Azure Table Storage vs. VictoriaMetrics vs. XTDB vs. Yanza

System Properties Comparison Apache Impala vs. Microsoft Azure Table Storage vs. VictoriaMetrics vs. XTDB vs. Yanza

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonVictoriaMetrics  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopA Wide Column Store for rapid development using massive semi-structured datasetsA fast, cost-effective and scalable Time Series DBMS and monitoring solutionA general purpose database with bitemporal SQL and Datalog and graph queriesTime Series DBMS for IoT Applications
Primary database modelRelational DBMSWide column storeTime Series DBMSDocument storeTime Series 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
Score4.04
Rank#77  Overall
#6  Wide column stores
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websiteimpala.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tablesvictoriametrics.comgithub.com/­xtdb/­xtdb
www.xtdb.com
yanza.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
www.xtdb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMicrosoftVictoriaMetricsJuxt Ltd.Yanza
Initial release20132012201820192015
Current release4.1.0, June 2022v1.91, May 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0Open Source infoMIT Licensecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoClojure
Server operating systemsLinuxhostedFreeBSD
Linux
macOS
OpenBSD
All OS with a Java 8 (and higher) VM
Linux
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes, extensible-data-notation formatno
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 indexesyesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnonolimited SQL, making use of Apache Calciteno
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
HTTP REST
JDBC
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenononono
Triggersnonononoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenonenone
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.Synchronous replicationyes, each node contains all datanone
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 ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
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 signaturesno

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More resources
Apache ImpalaMicrosoft Azure Table StorageVictoriaMetricsXTDB infoformerly named CruxYanza
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