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DBMS > Apache Drill vs. atoti vs. Citus vs. dBASE vs. Google Cloud Bigtable

System Properties Comparison Apache Drill vs. atoti vs. Citus vs. dBASE vs. Google Cloud Bigtable

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonatoti  Xexclude from comparisonCitus  Xexclude from comparisondBASE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLdBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Google'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
Object oriented DBMSRelational DBMSRelational DBMSKey-value store
Wide column store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Websitedrill.apache.orgatoti.iowww.citusdata.comwww.dbase.comcloud.google.com/­bigtable
Technical documentationdrill.apache.org/­docsdocs.atoti.iodocs.citusdata.comwww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docs
DeveloperApache Software FoundationActiveViamAsthon TateGoogle
Initial release2012201019792015
Current release1.20.3, January 20238.1, December 2018dBASE 2019, 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree versions availableOpen Source infoAGPL, commercial license also availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC
Server operating systemsLinux
OS X
Windows
LinuxDOS infodBase Classic
Windows infodBase Pro
hosted
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyes infospecific XML type available, but no XML query functionalityno
Secondary indexesnoyesyesno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantMultidimensional Expressions (MDX)yes infostandard, with numerous extensionsnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
none infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesC++.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
dBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsPythonuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no infoThe IDE can access stored procedures in other database systems.no
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsnoneInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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 sourceyesnono
User concepts infoAccess controlDepending on the underlying data sourcefine grained access rights according to SQL-standardAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Apache DrillatotiCitusdBASEGoogle Cloud Bigtable
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