DBMS > Google BigQuery vs. Neo4j vs. Sequoiadb
System Properties Comparison Google BigQuery vs. Neo4j vs. Sequoiadb
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|Editorial information provided by DB-Engines
|Google BigQuery Xexclude from comparison
|Neo4j Xexclude from comparison
|Sequoiadb Xexclude from comparison
|Large scale data warehouse service with append-only tables
|Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
|NewSQL database with distributed OLTP and SQL
|Primary database model
|5.17, February 2024
|License Commercial or Open Source
|Open Source GPL version3, commercial licenses available
|Open Source Server: AGPL; Client: Apache V2
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
|Server operating systems
|Linux Can also be used server-less as embedded Java database.
|schema-free and schema-optional
|Typing predefined data types such as float or date
|yes oid, date, timestamp, binary, regex
|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.
|yes pluggable indexing subsystem, by default Apache Lucene
|SQL Support of SQL
|SQL-like query language
|APIs and other access methods
|RESTful HTTP/JSON API
Cypher query language
Neo4j-OGM Object Graph Mapper
RESTful HTTP API
Spring Data Neo4j
|proprietary protocol using JSON
|Supported programming languages
|Server-side scripts Stored procedures
|yes User defined Procedures and Functions
|yes via event handler
|Partitioning methods Methods for storing different data on different nodes
|yes using Neo4j Fabric
|Replication methods Methods for redundantly storing data on multiple nodes
|Causal Clustering using Raft protocol available in in Enterprise Version only
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
|Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
|Foreign keys Referential integrity
|yes Relationships in graphs
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|no Since BigQuery is designed for querying data
|Document is locked during a transaction
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|User concepts Access control
|Access privileges (owner, writer, reader) on dataset, table or view level Google Cloud Identity & Access Management (IAM)
|Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
|simple password-based access control
|More information provided by the system vendor
|Neo4j delivers graph technology that has been battle tested for performance and scale...
|Neo4j is the market leader, graph database category creator, and the most widely...
|Typical application scenarios
|Real-Time Recommendations Master Data Management Identity and Access Management Network...
|Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
|Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
|Licensing and pricing models
|GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
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