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DBMS > Apache Drill vs. Lovefield vs. Quasardb vs. TimesTen

System Properties Comparison Apache Drill vs. Lovefield vs. Quasardb vs. TimesTen

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonLovefield  Xexclude from comparisonQuasardb  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageEmbeddable relational database for web apps written in pure JavaScriptDistributed, high-performance timeseries databaseAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitedrill.apache.orggoogle.github.io/­lovefieldquasar.aiwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdrill.apache.org/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddoc.quasar.ai/­masterdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperApache Software FoundationGooglequasardbOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2012201420091998
Current release1.20.3, January 20232.1.12, February 20173.14.1, January 2024Release 22.1
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++
Server operating systemsLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariBSD
Linux
OS X
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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.nononono
Secondary indexesnoyesyes infowith tagsyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like query language infovia JavaScript builder patternSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP APIODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC++JavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresuser defined functionsnonoPL/SQL
TriggersnoUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoby using LevelDByes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyes infousing MemoryDByes infoTransient modeyes
User concepts infoAccess controlDepending on the underlying data sourcenoCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard

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More resources
Apache DrillLovefieldQuasardbTimesTen
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