DBMS > AnzoGraph DB vs. BigObject vs. Fauna vs. PostgreSQL vs. Snowflake
System Properties Comparison AnzoGraph DB vs. BigObject vs. Fauna vs. PostgreSQL vs. Snowflake
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Name | AnzoGraph DB Xexclude from comparison | BigObject Xexclude from comparison | Fauna previously named FaunaDB Xexclude from comparison | PostgreSQL Xexclude from comparison | Snowflake 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 | Analytic DBMS for real-time computations and queries | Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure. | Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL | Cloud-based data warehousing service for structured and semi-structured data | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Graph DBMS RDF store | Relational DBMS a hierachical model (tree) can be imposed | Document store Graph DBMS Relational DBMS Time Series DBMS | Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module. | Relational DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Document store Graph DBMS with Apache Age Spatial DBMS Vector DBMS with pgvector extension | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | cambridgesemantics.com/anzograph | bigobject.io | fauna.com | www.postgresql.org | www.snowflake.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | docs.cambridgesemantics.com/anzograph/userdoc/home.htm | docs.bigobject.io | docs.fauna.com | www.postgresql.org/docs | docs.snowflake.net/manuals/index.html | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | Cambridge Semantics | BigObject, Inc. | Fauna, Inc. | PostgreSQL Global Development Group www.postgresql.org/developer | Snowflake Computing Inc. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2018 | 2015 | 2014 | 1989 1989: Postgres, 1996: PostgreSQL | 2014 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 2.3, January 2021 | 16.2, February 2024 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | commercial free trial version available | commercial free community edition available | commercial | Open Source BSD | commercial | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | no | no | yes | no | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Implementation language | Scala | C | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | Linux | Linux distributed as a docker-image OS X distributed as a docker-image (boot2docker) Windows distributed as a docker-image (boot2docker) | hosted | FreeBSD HP-UX Linux NetBSD OpenBSD OS X Solaris Unix Windows | hosted | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | Schema-free and OWL/RDFS-schema support | yes | schema-free | yes | yes support of semi-structured data formats (JSON, XML, Avro) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes | no | yes | 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 | no | yes specific XML-type available, but no XML query functionality. | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | no | yes | yes | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | SPARQL and SPARQL* as primary query language. Cypher preview. | SQL-like DML and DDL statements | no | yes standard with numerous extensions | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | Apache Mule gRPC JDBC Kafka OData access for BI tools OpenCypher RESTful HTTP API SPARQL | fluentd ODBC RESTful HTTP API | RESTful HTTP API | ADO.NET JDBC native C library ODBC streaming API for large objects | CLI Client JDBC ODBC | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | C++ Java Python | C# Go Java JavaScript Python Ruby Scala Swift | .Net C C++ Delphi Java JDBC JavaScript (Node.js) Perl PHP Python Tcl | JavaScript (Node.js) Python | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | user defined functions and aggregates | Lua | user defined functions | user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc. | user defined functions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | no | no | no | yes | no similar concept for controling cloud resources | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | Automatic sharding | none | horizontal partitioning consistent hashing | partitioning by range, list and (since PostgreSQL 11) by hash | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | Multi-source replication in MPP-Cluster | none | Multi-source replication | Source-replica replication other methods possible by using 3rd party extensions | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | Kerberos/HDFS data loading | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Immediate Consistency in MPP-Cluster | none | Immediate Consistency | Immediate Consistency | Immediate Consistency | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | no not needed in graphs | yes automatically between fact table and dimension tables | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID | no | ACID | ACID | ACID | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes Read/write lock on objects (tables, trees) | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | yes | yes | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | Access rights for users and roles | no | Identity management, authentication, and access control | fine grained access rights according to SQL-standard | Users with fine-grained authorization concept, user roles and pluggable authentication | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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More resources | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
AnzoGraph DB | BigObject | Fauna previously named FaunaDB | PostgreSQL | Snowflake | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | PostgreSQL is the DBMS of the Year 2023 Snowflake is the DBMS of the Year 2022, defending the title from last year Snowflake is the DBMS of the Year 2021 | Snowflake is the DBMS of the Year 2022, defending the title from last year Snowflake is the DBMS of the Year 2021 Monitoring PostgreSQL with Redgate Monitor AnzoGraph review: A graph database for deep analytics Cambridge Semantics Unveils AnzoGraph DB with Geospatial Analytics AnzoGraph: A W3C Standards-Based Graph Database | by Jo Stichbury Back to the future: Does graph database success hang on query language? Cambridge Semantics Fits AnzoGraph DB with More Speed, Free Access provided by Google News Slicing the Gordian Knot: A leap to real-time systems of truth Fauna Launches Distributed Document-Relational Database On Google Cloud Marketplace Fauna Adds Transformative Schema-as-Code Capabilities to Enterprise Proven, Document-Relational Database Utah Natural Heritage Program Fauna Query Language tamed to appeal to developers provided by Google News Leveraging PostgreSQL for Cutting-Edge Generative AI Applications: Insights from Google's Product Managers Handle tables without primary keys while creating Amazon Aurora PostgreSQL zero-ETL integrations with Amazon ... Introducing OCI Database with PostgreSQL: Completing Our Cloud Database Suite for Every Need PostgreSQL or MySQL: What Should I Choose for My Full-Stack Project? Breaking Boundaries: PostgreSQL 16 is now available on IBM Cloud provided by Google News Stream data into Snowflake using Amazon Data Firehose and Snowflake Snowpipe Streaming MessageGears to operate with the Snowflake data cloud Coalesce raises more cash to transform data for Snowflake customers What Is Snowflake Data Warehouse? A Tutorial Partnership Brings Cutting-Edge LLMs from Mistral AI Into Snowflake Data Cloud provided by Google News |
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