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DBMS > Amazon SimpleDB vs. Apache Impala vs. Databricks vs. HEAVY.AI vs. STSdb

System Properties Comparison Amazon SimpleDB vs. Apache Impala vs. Databricks vs. HEAVY.AI vs. STSdb

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Impala  Xexclude from comparisonDatabricks  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreAnalytic DBMS for HadoopThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value storeRelational DBMSDocument store
Relational DBMS
Relational DBMSKey-value store
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteaws.amazon.com/­simpledbimpala.apache.orgwww.databricks.comgithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­STSSoft/­STSdb4
Technical documentationdocs.aws.amazon.com/­simpledbimpala.apache.org/­impala-docs.htmldocs.databricks.comdocs.heavy.ai
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaDatabricksHEAVY.AI, Inc.STS Soft SC
Initial release20072013201320162011
Current release4.1.0, June 20225.10, January 20224.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++ and CUDAC#
Server operating systemshostedLinuxhostedLinuxWindows
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or datenoyesyesyes infoprimitive types and user defined types (classes)
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.noyesno
Secondary indexesyes infoAll columns are indexed automaticallyyesyesnono
SQL infoSupport of SQLnoSQL-like DML and DDL statementswith Databricks SQLyesno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
.NET Client API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCPython
R
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C#
Java
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceuser defined functions and aggregatesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardno
More information provided by the system vendor
Amazon SimpleDBApache ImpalaDatabricksHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022STSdb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Amazon SimpleDBApache ImpalaDatabricksHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022STSdb
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