DBMS > ArangoDB vs. Kinetica
System Properties Comparison ArangoDB vs. Kinetica
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|Editorial information provided by DB-Engines|
|Name||ArangoDB Xexclude from comparison||Kinetica Xexclude from comparison|
|Description||Native multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.||Fully vectorized database across both GPUs and CPUs|
|Primary database model||Document store|
|Secondary database models||Spatial DBMS|
Time Series DBMS
|Social network pages|
|Current release||184.108.40.206, March 2023||7.1, August 2021|
|License Commercial or Open Source||Open Source Apache Version 2; Commercial license (Enterprise) available||commercial|
|Cloud-based only Only available as a cloud service||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.|
|Implementation language||C++||C, C++|
|Server operating systems||Linux|
|Data scheme||schema-free automatically recognizes schema within a collection||yes|
|Typing predefined data types such as float or date||yes string, double, boolean, list, hash||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|
|SQL Support of SQL||no||SQL-like DML and DDL statements|
|APIs and other access methods||AQL|
Graph API (Gremlin)
GraphQL query language
Java & SpringData
JSON style queries
RESTful HTTP API
|Supported programming languages||C#|
|Triggers||no||yes triggers when inserted values for one or more columns fall within a specified range|
|Partitioning methods Methods for storing different data on different nodes||Sharding since version 2.0||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication with configurable replication factor||Source-replica replication|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency configurable per collection or per write|
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
|Immediate Consistency or Eventual Consistency depending on configuration|
|Foreign keys Referential integrity||yes relationships in graphs||yes|
|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 GPU vRAM or System RAM|
|User concepts Access control||yes||Access rights for users and roles on table level|
|More information provided by the system vendor|
|Specific characteristics||Graph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...|
|Competitive advantages||Consolidation: As a native multi-model database, can be used as a full blown document...|
|Typical application scenarios||Native multi-model in ArangoDB is being used for a broad range of projects across...|
|Key customers||Cisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...|
|Market metrics||ArangoDB is the leading native multi-model database with over 11,000 stargazers on...|
|Licensing and pricing models||Very permissive Apache 2 License for Community Edition & commercial licenses are...|
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