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DBMS > Apache Drill vs. Google Cloud Bigtable vs. Greenplum

System Properties Comparison Apache Drill vs. Google Cloud Bigtable vs. Greenplum

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGreenplum  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.
Primary database modelDocument store
Relational DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#118  Overall
#23  Document stores
#56  Relational DBMS
Score3.86
Rank#90  Overall
#13  Key-value stores
#7  Wide column stores
Score9.20
Rank#48  Overall
#30  Relational DBMS
Websitedrill.apache.orgcloud.google.com/­bigtablegreenplum.org
Technical documentationdrill.apache.org/­docscloud.google.com/­bigtable/­docsdocs.greenplum.org
DeveloperApache Software FoundationGooglePivotal Software Inc.
Initial release201220152005
Current release1.20.3, January 20237.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemsLinux
OS X
Windows
hostedLinux
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.nonoyes infosince Version 4.2
Secondary indexesnonoyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Supported programming languagesC++C#
C++
Go
Java
JavaScript (Node.js)
Python
C
Java
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functionsnoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenono
User concepts infoAccess controlDepending on the underlying data sourceAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
Apache DrillGoogle Cloud BigtableGreenplum
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