DBMS > AnzoGraph DB vs. etcd vs. VoltDB
System Properties Comparison AnzoGraph DB vs. etcd vs. VoltDB
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|Editorial information provided by DB-Engines|
|Name||AnzoGraph DB Xexclude from comparison||etcd Xexclude from comparison||VoltDB Xexclude from comparison|
|Description||Scalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualization||A distributed reliable key-value store||Distributed In-Memory NewSQL RDBMS Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory|
|Primary database model||Graph DBMS|
|Key-value store||Relational DBMS|
|Developer||Cambridge Semantics||VoltDB Inc.|
|Current release||2.3, January 2021||3.4, August 2019||11.3, April 2022|
|License Commercial or Open Source||commercial free trial version available||Open Source Apache Version 2.0||Open Source AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions|
|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||Go||Java, C++|
|Server operating systems||Linux||FreeBSD|
OS X for development
|Data scheme||Schema-free and OWL/RDFS-schema support||schema-free||yes|
|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||SPARQL and SPARQL* as primary query language. Cypher preview.||no||yes only a subset of SQL 99|
|APIs and other access methods||Apache Mule|
OData access for BI tools
RESTful HTTP API
JSON over HTTP
RESTful HTTP/JSON API
|Supported programming languages||C++|
Erlang not officially supported
|Server-side scripts Stored procedures||user defined functions and aggregates||no||Java|
|Triggers||no||yes, watching key changes||no|
|Partitioning methods Methods for storing different data on different nodes||Automatic sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication in MPP-Cluster||Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||Kerberos/HDFS data loading||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency in MPP-Cluster||Immediate Consistency|
|Foreign keys Referential integrity||no not needed in graphs||no||no FOREIGN KEY constraints are not supported|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||no||ACID Transactions are executed single-threaded within stored procedures|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes Data access is serialized by the server|
|Durability Support for making data persistent||yes||yes||yes Snapshots and command logging|
|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||Access rights for users and roles||no||Users and roles with access to stored procedures|
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