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DBMS > Apache Impala vs. IRONdb vs. RisingWave

System Properties Comparison Apache Impala vs. IRONdb vs. RisingWave

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonIRONdb  Xexclude from comparisonRisingWave  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelRelational DBMSTime Series DBMSRelational DBMS
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
Score0.58
Rank#242  Overall
#111  Relational DBMS
Websiteimpala.apache.orgwww.circonus.com/solutions/time-series-database/www.risingwave.com/­database
Technical documentationimpala.apache.org/­impala-docs.htmldocs.circonus.com/irondb/category/getting-starteddocs.risingwave.com/­docs/­current/­intro
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCirconus LLC.RisingWave Labs
Initial release201320172022
Current release4.1.0, June 2022V0.10.20, January 20181.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++Rust
Server operating systemsLinuxLinuxDocker
Linux
macOS
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsStandard SQL-types and JSON
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 indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (Circonus Analytics Query Language: CAQL)yes
APIs and other access methodsJDBC
ODBC
HTTP APIJDBC
PostgreSQL wire protocol
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes, in LuaUDFs in Python or Java
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoUsers and Roles

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More resources
Apache ImpalaIRONdbRisingWave
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