DBMS > DataFS vs. Ignite vs. Quasardb
System Properties Comparison DataFS vs. Ignite vs. Quasardb
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|Editorial information provided by DB-Engines|
|Name||DataFS Xexclude from comparison||Ignite Xexclude from comparison||Quasardb Xexclude from comparison|
|Description||All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.||Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.||Distributed, high-performance timeseries database|
|Primary database model||Object oriented DBMS||Key-value store|
|Time Series DBMS|
|Secondary database models||Graph DBMS|
|Developer||Mobiland AG||Apache Software Foundation||quasardb|
|Current release||1.1.263, October 2022||Apache Ignite 2.6||3.13.3, April 2022|
|License Commercial or Open Source||commercial||Open Source Apache 2.0||commercial Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C++, Java, .Net||C++|
|Server operating systems||Windows||Linux|
|Data scheme||Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)||yes||schema-free|
|Typing predefined data types such as float or date||yes||yes||yes integer and binary|
|Secondary indexes||no||yes||yes with tags|
|SQL Support of SQL||no||ANSI-99 for query and DML statements, subset of DDL||SQL-like query language|
|APIs and other access methods||.NET Client API|
Proprietary client DLL
RESTful HTTP API
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||yes (compute grid and cache interceptors can be used instead)||no|
|Triggers||no, except callback-events from server when changes happened||yes (cache interceptors and events)||no|
|Partitioning methods Methods for storing different data on different nodes||Proprietary Sharding system||Sharding||Sharding consistent hashing|
|Replication methods Methods for redundantly storing data on multiple nodes||yes (replicated cache)||Source-replica replication with selectable replication factor|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes (compute grid and hadoop accelerator)||with Hadoop integration|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes by using LevelDB|
|no||yes||yes Transient mode|
|User concepts Access control||Windows-Profile||Security Hooks for custom implementations||Cryptographically strong user authentication and audit trail|
More information provided by the system vendor
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