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DBMS > Apache Drill vs. LevelDB vs. PostgreSQL vs. Transwarp Hippo

System Properties Comparison Apache Drill vs. LevelDB vs. PostgreSQL vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonLevelDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelDocument store
Relational DBMS
Key-value storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Vector DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score2.33
Rank#111  Overall
#19  Key-value stores
Score644.36
Rank#4  Overall
#4  Relational DBMS
Score0.00
Rank#385  Overall
#16  Vector DBMS
Websitedrill.apache.orggithub.com/­google/­leveldbwww.postgresql.orgwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdrill.apache.org/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.postgresql.org/­docs
DeveloperApache Software FoundationGooglePostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release201220111989 info1989: Postgres, 1996: PostgreSQL2023
Current release1.20.3, January 20231.23, February 202116.4, August 20241.0, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSDOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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PostgreSQL Flex @ STACKIT offers managed PostgreSQL Instances with adjustable CPU, RAM, storage amount and speed and several extensions available, in enterprise grade to perfectly match all application requirements. All 100% GDPR-compliant.
Implementation languageC++CC++
Server operating systemsLinux
OS X
Windows
Illumos
Linux
OS X
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
macOS
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesVector, Numeric and String
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 infospecific XML-type available, but no XML query functionality.no
Secondary indexesnonoyesno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoyes infostandard with numerous extensionsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
Supported programming languagesC++C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
Python
Server-side scripts infoStored proceduresuser defined functionsnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonepartitioning by range, list and (since PostgreSQL 11) by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyes
User concepts infoAccess controlDepending on the underlying data sourcenofine grained access rights according to SQL-standardRole based access control and fine grained access rights

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