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DBMS > Apache Impala vs. Databend vs. GridGain vs. Rockset

System Properties Comparison Apache Impala vs. Databend vs. GridGain vs. Rockset

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatabend  Xexclude from comparisonGridGain  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityGridGain is an in-memory computing platform, built on Apache IgniteA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Document store
Secondary database modelsDocument storeRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Websiteimpala.apache.orggithub.com/­datafuselabs/­databend
www.databend.com
www.gridgain.comrockset.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.databend.comwww.gridgain.com/­docs/­index.htmldocs.rockset.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDatabend LabsGridGain Systems, Inc.Rockset
Initial release2013202120072019
Current release4.1.0, June 20221.0.59, April 2023GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++RustJava, C++, .NetC++
Server operating systemsLinuxhosted
Linux
macOS
Linux
OS X
Solaris
Windows
hosted
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesdynamic typing
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.nonoyesno infoingestion from XML files supported
Secondary indexesyesnoyesall fields are automatically indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsyesANSI-99 for query and DML statements, subset of DDLRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
ODBC
CLI Client
JDBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes (compute grid and cache interceptors can be used instead)no
Triggersnonoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno
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
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUsers with fine-grained authorization concept, user rolesSecurity Hooks for custom implementationsAccess rights for users and organizations can be defined via Rockset console

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More resources
Apache ImpalaDatabendGridGainRockset
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