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DBMS > Apache Drill vs. IBM Db2 Event Store vs. IRONdb vs. Netezza

System Properties Comparison Apache Drill vs. IBM Db2 Event Store vs. IRONdb vs. Netezza

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonIRONdb  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageDistributed Event Store optimized for Internet of Things use casesA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityData warehouse and analytics appliance part of IBM PureSystems
Primary database modelDocument store
Relational DBMS
Event Store
Time Series DBMS
Time 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
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Websitedrill.apache.orgwww.ibm.com/­products/­db2-event-storewww.circonus.com/solutions/time-series-database/www.ibm.com/­products/­netezza
Technical documentationdrill.apache.org/­docswww.ibm.com/­docs/­en/­db2-event-storedocs.circonus.com/irondb/category/getting-started
DeveloperApache Software FoundationIBMCirconus LLC.IBM
Initial release2012201720172000
Current release1.20.3, January 20232.0V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree developer edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C and C++
Server operating systemsLinux
OS X
Windows
Linux infoLinux, macOS, Windows for the developer additionLinuxLinux infoincluded in appliance
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes
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 indexesnononoyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyes infothrough the embedded Spark runtimeSQL-like query language (Circonus Analytics Query Language: CAQL)yes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP APIJDBC
ODBC
OLE DB
Supported programming languagesC++C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functionsyesyes, in Luayes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per nodeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationconfigurable replication factor, datacenter awareSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesno
User concepts infoAccess controlDepending on the underlying data sourcefine grained access rights according to SQL-standardnoUsers with fine-grained authorization concept

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More resources
Apache DrillIBM Db2 Event StoreIRONdbNetezza infoAlso called PureData System for Analytics by IBM
Recent citations in the news

Apache Drill case study: A tutorial on processing CSV files
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Analyse Kafka messages with SQL queries using Apache Drill
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21 August 2019, AWS Blog

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