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DBMS > Apache Impala vs. Sadas Engine vs. TiDB vs. VictoriaMetrics

System Properties Comparison Apache Impala vs. Sadas Engine vs. TiDB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonSadas Engine  Xexclude from comparisonTiDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsTiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.00
Rank#385  Overall
#159  Relational DBMS
Score4.09
Rank#72  Overall
#38  Relational DBMS
Score1.23
Rank#165  Overall
#15  Time Series DBMS
Websiteimpala.apache.orgwww.sadasengine.compingcap.comvictoriametrics.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.pingcap.com/­tidb/­stabledocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaSADAS s.r.l.PingCAP, Inc.VictoriaMetrics
Initial release2013200620162018
Current release4.1.0, June 20228.08.2.0, July 2024v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree trial version availableOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
Implementation languageC++C++Go, RustGo
Server operating systemsLinuxAIX
Linux
Windows
LinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesno
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Proprietary protocol
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C#
C++
Groovy
Java
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioninghorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Synchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes infowith TiSpark Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyes infofull support since version 6.6no
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infomanaged by 'Learn by Usage'nono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users, groups and roles according to SQL-standardFine grained access rights according to SQL-standard
More information provided by the system vendor
Apache ImpalaSadas EngineTiDBVictoriaMetrics
Specific characteristicsTiDB is an advanced open-source, distributed SQL database for modern application...
» more
Competitive advantages- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
» more
Typical application scenariosTiDB is ideal for transactional applications that require extreme scalability and...
» more
Key customersBlock, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud...
» more
Market metrics34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
» more
Licensing and pricing modelsTiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more

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More resources
Apache ImpalaSadas EngineTiDBVictoriaMetrics
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