DBMS > GridGain vs. YugabyteDB
System Properties Comparison GridGain vs. YugabyteDB
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|Editorial information provided by DB-Engines|
|Name||GridGain Xexclude from comparison||YugabyteDB Xexclude from comparison|
|Description||GridGain is an in-memory computing platform, built on Apache Ignite||High-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.|
|Primary database model||Key-value store|
|Secondary database models||Document store|
Wide column store
|Developer||GridGain Systems, Inc.||Yugabyte Inc.|
|Current release||GridGain 8.5.1||2.18, May 2023|
|License Commercial or Open Source||commercial||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.|
|Implementation language||Java, C++, .Net||C and C++|
|Server operating systems||Linux|
|Data scheme||yes||depending on used data model|
|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.||yes||no|
|SQL Support of SQL||ANSI-99 for query and DML statements, subset of DDL||yes, PostgreSQL compatible|
|APIs and other access methods||HDFS API|
RESTful HTTP API
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
|Supported programming languages||C#|
|Server-side scripts Stored procedures||yes (compute grid and cache interceptors can be used instead)||yes sql, plpgsql, C|
|Triggers||yes (cache interceptors and events)||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Hash and Range Sharding, row-level geo-partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||yes (replicated cache)||Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes (compute grid and hadoop accelerator)||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Strong consistency on writes and tunable consistency on reads|
|Foreign keys Referential integrity||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||Distributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||yes based on RocksDB|
|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||Security Hooks for custom implementations||yes|
|More information provided by the system vendor|
|Specific characteristics||YugabyteDB is an open source distributed SQL database for cloud native transactional...|
|Competitive advantages||PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....|
|Typical application scenarios||Systems of record and engagement for cloud native applications that require resilience,...|
|Market metrics||2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...|
|Licensing and pricing models||Apache 2.0 license for the database|
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