DBMS > GigaSpaces vs. Impala
System Properties Comparison GigaSpaces vs. Impala
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|Editorial information provided by DB-Engines|
|Name||GigaSpaces Xexclude from comparison||Impala Xexclude from comparison|
|Description||High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions||Analytic DBMS for Hadoop|
|Primary database model||Document store|
Object oriented DBMS Values are user defined objects
|Secondary database models||Graph DBMS|
|Current release||15.5, September 2020||4.1.0, June 2022|
|License Commercial or Open Source||Open Source Apache Version 2; Commercial licenses available||Open Source Apache Version 2|
|Cloud-based only Only available as a cloud service||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||Java, C++, .Net||C++|
|Server operating systems||Linux|
|Typing predefined data types such as float or date||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no XML can be used for describing objects metadata||no|
|SQL Support of SQL||SQL-99 for query and DML statements||SQL-like DML and DDL statements|
|APIs and other access methods||GigaSpaces LRMI|
RESTful HTTP API
|Supported programming languages||.Net|
|All languages supporting JDBC/ODBC|
|Server-side scripts Stored procedures||yes||yes user defined functions and integration of map-reduce|
|Triggers||yes, event driven architecture||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication synchronous or asynchronous|
Source-replica replication synchronous or asynchronous
|selectable replication factor|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes Map-Reduce pattern can be built with XAP task executors||yes query execution via MapReduce|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency Consistency level configurable: ALL, QUORUM, ANY||Eventual Consistency|
|Foreign keys Referential integrity||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||no|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no|
|User concepts Access control||Role-based access control||Access rights for users, groups and roles based on Apache Sentry and Kerberos|
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Staff Software Engineer(Data Modeling/SQL + Visualization + Analytics)
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