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DBMS > Apache Drill vs. Dgraph vs. DuckDB vs. EsgynDB vs. Google Cloud Bigtable

System Properties Comparison Apache Drill vs. Dgraph vs. DuckDB vs. EsgynDB vs. Google Cloud Bigtable

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonDgraph  Xexclude from comparisonDuckDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageDistributed and scalable native Graph DBMSAn embeddable, in-process, column-oriented SQL OLAP RDBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelDocument store
Relational DBMS
Graph DBMSRelational DBMSRelational DBMSKey-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#119  Overall
#23  Document stores
#56  Relational DBMS
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score4.68
Rank#76  Overall
#41  Relational DBMS
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Websitedrill.apache.orgdgraph.ioduckdb.orgwww.esgyn.cncloud.google.com/­bigtable
Technical documentationdrill.apache.org/­docsdgraph.io/­docsduckdb.org/­docscloud.google.com/­bigtable/­docs
DeveloperApache Software FoundationDgraph Labs, Inc.EsgynGoogle
Initial release20122016201820152015
Current release1.20.3, January 20230.10, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoMIT Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++C++, Java
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
server-lessLinuxhosted
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonononono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoyesyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
ADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesC++C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnonoJava Stored Proceduresno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingyesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftnoneMulti-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 methodsyesnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesnono
User concepts infoAccess controlDepending on the underlying data sourceno infoPlanned for future releasesnofine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Apache DrillDgraphDuckDBEsgynDBGoogle Cloud Bigtable
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