Some reviews of AnzoGraph DB exist right here on Medium. You can try out their real-world test, check out their benchmark study, and download a 60-day free trial. It is intended for embedded analytics that require graph algorithms, graph views, named queries, aggregates, built-in data science functions, data warehouse-style BI, and reporting functions. It is a Massively Parallel Processing (MPP) native graph database built for analytics at scale (trillions of triples and more), speed and deep link insights. AnzoGraph DB’s operating server is Linux and it supports C++ and Java.Īccording to their website, AnzoGraph DB is built for online data analytics with performance that linearly scales. Most RDF stores, AnzoGraph included, support SPARQL, which is a SQL-like query language used for OLAP(Online analytical processing)-style analytics. RDF stores can be considered as a subclass of graph DBMs, but RDF stores are distinguished as they offer specific methods going beyond the general graph DBMS. The RDF model represents information as triples in the form of subject-predicate-object. Initially released in 2018, this commercial graph database operates with the RDF (Resource Description Framework). Others refer to AQL as “intuitive” and describe ArangoDB as “feature-rich.” The single average rating from 2017 indicated a lack of SQL support and dissatisfaction of having to adapt to AQL. There are 41 user reviews on G2 with an average of 5/5 stars. ArangoDB has natively integrated cross-platform indexing, text-search and ranking engine for information retrieval and it is optimized for speed and memory. It runs on Kubernetes, including persistent primitives & easy cluster setup. ArangoDB was designed specifically to allow key/value, document, and graph data to be stored together and queried with a common language.Īccording to their website, ArangoDB can operate as a distributed & highly scalable database cluster. AQL is declarative and allows the combination of different data access patterns in a single query. ArangoDB operates with one database core and its own unified query language AQL (ArangoDB Query Language), which is similar to SQL in many ways. It is schema-free and supports the following languages: C#, Clojure, Java, JavaScript (Node.js), PHP, Python, and Ruby. Server operating systems include: Linux, OS X, Raspbian, Solaris, and Windows. ArangoDB is open-sourced, multi-model (key/value, documents, and graphs), and implemented with C, C++, and JavaScript. Originally called AvocadoDB in 2011, as evident in its logo, ArangoDB came into being in 2012. Main praises include the reasonable price, quick-installation, and that it is user-friendly. The main criticism of reviews seems to be the desire for more robust documentation. The majority of the reviews are very positive, and it should be noted that the last average review was from June 2016, so it seems like OrientDB is doing a stand-up job of fixing bugs and deploying fully-developed features. There are 33 user reviews on G2 with an average rating of 4/5 stars. It does not simply “add layers for additional models, resulting in decreased performance.” It is open-sourced, but commercial support is available from OrientDB as well.Īccording to their website, OrientDB provides the service of a graph database system without the need to “deploy multiple systems to handle other data types.” This method serves to increase “performance and security while supporting scalability.” OrientDB differentiates itself from the many graph database systems by managing a multi-model system by design. OrientDB is implemented with Java, so it can be run on all operating systems with a Java JDK ≥ JDK6. Gremlin and SQL queries are both supported for graph traversal. It supports schema-less, schema-full, and schema-mixed modes. OrientDB is a schema-free multi-model database system supporting graph, document, key/value, and object models. Net, C, C#, C++, Clojure, Java, JavaScript, JavaScript(Node.js), PHP, Python, Ruby, and Scala. Initially released in 2010, OrientDB supports many programming languages including.
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