DBMS > Ultipa vs. Yanza vs. YugabyteDB
System Properties Comparison Ultipa vs. Yanza vs. YugabyteDB
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|Editorial information provided by DB-Engines|
|Name||Ultipa Xexclude from comparison||Yanza Xexclude from comparison||YugabyteDB Xexclude from comparison|
|Description||High performance Graph DBMS supporting HTAP high availability cluster deployment||Time Series DBMS for IoT Applications||High-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.|
|Primary database model||Graph DBMS||Time Series DBMS||Relational DBMS|
|Secondary database models||Document store|
Wide column store
|Current release||2.17, December 2022|
|License Commercial or Open Source||commercial||commercial free version available||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||no||no but mainly used as a service provided by Yanza||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|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||C and C++|
|Server operating systems||Windows||Linux|
|Data scheme||schema-free||depending on used data model|
|Typing predefined data types such as float or date||no||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||no|
|SQL Support of SQL||no||yes, PostgreSQL compatible|
|APIs and other access methods||RESTful HTTP API||HTTP API||JDBC|
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++|
|any language that supports HTTP calls||C|
|Server-side scripts Stored procedures||no||yes sql, plpgsql, C|
|Triggers||yes Timer and event based||yes|
|Partitioning methods Methods for storing different data on different nodes||none||Hash and Range Sharding, row-level geo-partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||none||Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||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||no||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.||no|
|User concepts Access control||no||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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NOSQL/SQL cloud DBA
Account Executive, Southeast
Software Engineer, Database - Languages & Relational Technologies
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