DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Dgraph vs. EsgynDB vs. EventStoreDB vs. Google Cloud Bigtable vs. SurrealDB

System Properties Comparison Dgraph vs. EsgynDB vs. EventStoreDB vs. Google Cloud Bigtable vs. SurrealDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelGraph DBMSRelational DBMSEvent StoreKey-value store
Wide column store
Document store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score1.14
Rank#181  Overall
#1  Event Stores
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score0.91
Rank#204  Overall
#33  Document stores
#18  Graph DBMS
Websitedgraph.iowww.esgyn.cnwww.eventstore.comcloud.google.com/­bigtablesurrealdb.com
Technical documentationdgraph.io/­docsdevelopers.eventstore.comcloud.google.com/­bigtable/­docssurrealdb.com/­docs
DeveloperDgraph Labs, Inc.EsgynEvent Store LimitedGoogleSurrealDB Ltd
Initial release20162015201220152022
Current release21.2, February 2021v1.1.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen SourcecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaRust
Server operating systemsLinux
OS X
Windows
LinuxLinux
Windows
hostedLinux
macOS
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLnoyesnoSQL-like query language
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnoJava Stored Proceduresno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes, based on authentication and database rules

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
DgraphEsgynDBEventStoreDBGoogle Cloud BigtableSurrealDB
Recent citations in the news

Dgraph on AWS: Setting up a horizontally scalable graph database | Amazon Web Services
1 September 2020, AWS Blog

Popular Open Source GraphQL Company Dgraph Secures $6M in Seed Round with New Leadership
20 July 2022, PR Newswire

Dgraph Raises $6M in Seed Funding
20 July 2022, FinSMEs

Dgraph Rises to the Top Graph Database on GitHub With 11 G2 Badges and 11M Downloads
26 May 2021, Business Wire

Dgraph GraphQL database users detail graph use cases
20 April 2021, TechTarget

provided by Google News

Google expands BigQuery with Gemini, brings vector support to cloud databases
29 February 2024, VentureBeat

What is Google Bigtable? | Definition from TechTarget
1 March 2022, TechTarget

Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs
31 January 2022, InfoQ.com

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

Google Cloud makes it cheaper to run smaller workloads on Bigtable
7 April 2020, TechCrunch

provided by Google News

Cloud, privacy and AI: Trends defining the future of data and databases
27 September 2023, Sifted

Introducing SurrealDB: A Quantum Leap in Database Technology
11 September 2023, TechRound

SurrealDB raises $6M for its database-as-a-service offering
4 January 2023, TechCrunch

SurrealDB: Open source scalable graph database has big potential
23 August 2022, devm.io

New Investment: Lago – Matt Turck
14 March 2024, mattturck.com

provided by Google News



Share this page

Featured Products

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here