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DBMS > Apache Impala vs. Drizzle vs. Fujitsu Enterprise Postgres vs. Sequoiadb vs. VictoriaMetrics

System Properties Comparison Apache Impala vs. Drizzle vs. Fujitsu Enterprise Postgres vs. Sequoiadb vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDrizzle  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonSequoiadb  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.NewSQL database with distributed OLTP and SQLA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Relational DBMS
Time Series DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websiteimpala.apache.orgwww.postgresql.fastware.comwww.sequoiadb.comvictoriametrics.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.postgresql.fastware.com/­product-manualswww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDrizzle project, originally started by Brian AkerPostgreSQL Global Development Group, Fujitsu Australia Software TechnologySequoiadb Ltd.VictoriaMetrics
Initial release2013200820132018
Current release4.1.0, June 20227.2.4, September 2012Fujitsu Enterprise Postgres 14, January 2022v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGNU GPLcommercialOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++CC++Go
Server operating systemsLinuxFreeBSD
Linux
OS X
Linux
Windows
LinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regex
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
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infowith proprietary extensionsyesSQL-like query languageno
APIs and other access methodsJDBC
ODBC
JDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
proprietary protocol using JSONGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Java
PHP
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenouser defined functionsJavaScriptno
Triggersnono infohooks for callbacks inside the server can be used.yesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingpartitioning by range, list and by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replicationSynchronous replication
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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.nonono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardsimple password-based access control
More information provided by the system vendor
Apache ImpalaDrizzleFujitsu Enterprise PostgresSequoiadbVictoriaMetrics
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
Apache ImpalaDrizzleFujitsu Enterprise PostgresSequoiadbVictoriaMetrics
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