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DBMS > Apache Drill vs. Atos Standard Common Repository vs. Speedb vs. Vertica

System Properties Comparison Apache Drill vs. Atos Standard Common Repository vs. Speedb vs. Vertica

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonSpeedb  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDBCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelDocument store
Relational DBMS
Document store
Key-value store
Key-value storeRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series 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
Score0.20
Rank#310  Overall
#44  Key-value stores
Score9.62
Rank#42  Overall
#26  Relational DBMS
Websitedrill.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.speedb.iowww.vertica.com
Technical documentationdrill.apache.org/­docsvertica.com/­documentation
DeveloperApache Software FoundationAtos Convergence CreatorsSpeedbOpenText infopreviously Micro Focus and Hewlett Packard
Initial release2012201620202005
Current release1.20.3, January 2023170312.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0; commercial license availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsLinux
OS X
Windows
LinuxLinux
Windows
Linux
Data schemeschema-freeSchema and schema-less with LDAP viewsschema-freeYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesoptionalnoyes
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.noyesnono
Secondary indexesnoyesnoNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnonoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
LDAPADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC++All languages with LDAP bindingsC
C++
Go
Java
Perl
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functionsnonoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionhorizontal partitioninghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 sourceyesyesno
User concepts infoAccess controlDepending on the underlying data sourceLDAP bind authenticationnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash

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More resources
Apache DrillAtos Standard Common RepositorySpeedbVertica infoOpenText™ Vertica™
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