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DBMS > Apache Drill vs. Apache Impala vs. Netezza vs. ScyllaDB

System Properties Comparison Apache Drill vs. Apache Impala vs. Netezza vs. ScyllaDB

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Impala  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAnalytic DBMS for HadoopData warehouse and analytics appliance part of IBM PureSystemsCassandra and DynamoDB compatible wide column store
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSWide column store
Secondary database modelsDocument storeKey-value 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
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitedrill.apache.orgimpala.apache.orgwww.ibm.com/­products/­netezzawww.scylladb.com
Technical documentationdrill.apache.org/­docsimpala.apache.org/­impala-docs.htmldocs.scylladb.com
DeveloperApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by ClouderaIBMScyllaDB
Initial release2012201320002015
Current release1.20.3, January 20234.1.0, June 2022ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2commercialOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC++C++
Server operating systemsLinux
OS X
Windows
LinuxLinux infoincluded in applianceLinux
Data schemeschema-freeyesyesschema-free
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.nonono
Secondary indexesnoyesyesyes infocluster global secondary indices
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like DML and DDL statementsyesSQL-like DML and DDL statements (CQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
OLE DB
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC++All languages supporting JDBC/ODBCC
C++
Fortran
Java
Lua
Perl
Python
R
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresuser defined functionsyes infouser defined functions and integration of map-reduceyesyes, Lua
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno infoAtomicity and isolation are supported for single operations
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 sourcenoyes infoin-memory tables
User concepts infoAccess controlDepending on the underlying data sourceAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUsers with fine-grained authorization conceptAccess rights for users can be defined per object
More information provided by the system vendor
Apache DrillApache ImpalaNetezza infoAlso called PureData System for Analytics by IBMScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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More resources
Apache DrillApache ImpalaNetezza infoAlso called PureData System for Analytics by IBMScyllaDB
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