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DBMS > Apache Drill vs. Fujitsu Enterprise Postgres vs. GeoSpock vs. Hive

System Properties Comparison Apache Drill vs. Fujitsu Enterprise Postgres vs. GeoSpock vs. Hive

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGeoSpock  Xexclude from comparisonHive  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Spatial and temporal data processing engine for extreme data scaledata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Websitedrill.apache.orgwww.postgresql.fastware.comgeospock.comhive.apache.org
Technical documentationdrill.apache.org/­docswww.postgresql.fastware.com/­product-manualscwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperApache Software FoundationPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGeoSpockApache Software Foundation infoinitially developed by Facebook
Initial release20122012
Current release1.20.3, January 2023Fujitsu Enterprise Postgres 14, January 20222.0, September 20193.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, JavascriptJava
Server operating systemsLinux
OS X
Windows
Linux
Windows
hostedAll OS with a Java VM
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono
Secondary indexesnoyestemporal, categoricalyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyesANSI SQL for query only (using Presto)SQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCJDBC
ODBC
Thrift
Supported programming languagesC++.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnoyes infouser defined functions and integration of map-reduce
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and by hashAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceno
User concepts infoAccess controlDepending on the underlying data sourcefine grained access rights according to SQL-standardAccess rights for users can be defined per tableAccess rights for users, groups and roles

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More resources
Apache DrillFujitsu Enterprise PostgresGeoSpockHive
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