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DBMS > Apache Druid vs. Apache Impala vs. Ehcache vs. IRONdb vs. Stardog

System Properties Comparison Apache Druid vs. Apache Impala vs. Ehcache vs. IRONdb vs. Stardog

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonApache Impala  Xexclude from comparisonEhcache  Xexclude from comparisonIRONdb  Xexclude from comparisonStardog  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAnalytic DBMS for HadoopA widely adopted Java cache with tiered storage optionsA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value storeTime Series DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score4.79
Rank#66  Overall
#8  Key-value stores
Score1.93
Rank#121  Overall
#10  Graph DBMS
#6  RDF stores
Websitedruid.apache.orgimpala.apache.orgwww.ehcache.orgwww.circonus.com/solutions/time-series-database/www.stardog.com
Technical documentationdruid.apache.org/­docs/­latest/­designimpala.apache.org/­impala-docs.htmlwww.ehcache.org/­documentationdocs.circonus.com/irondb/category/getting-starteddocs.stardog.com
DeveloperApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by ClouderaTerracotta Inc, owned by Software AGCirconus LLC.Stardog-Union
Initial release20122013200920172010
Current release30.0.0, June 20244.1.0, June 20223.10.0, March 2022V0.10.20, January 20187.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2Open Source infoApache Version 2; commercial licenses availablecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC and C++Java
Server operating systemsLinux
OS X
Unix
LinuxAll OS with a Java VMLinuxLinux
macOS
Windows
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesyes 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.nonononono infoImport/export of XML data possible
Secondary indexesyesyesnonoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL for queryingSQL-like DML and DDL statementsnoSQL-like query language (Circonus Analytics Query Language: CAQL)Yes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
JCacheHTTP APIGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBCJava.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenoyes, in Luauser defined functions and aggregates, HTTP Server extensions in Java
Triggersnonoyes infoCache Event Listenersnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infoby using Terracotta ServerAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factoryes infoby using Terracotta Serverconfigurable replication factor, datacenter awareMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate consistency per node, eventual consistency across nodesImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynonononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes infosupports JTA and can work as an XA resourcenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnonoAccess rights for users and roles

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More resources
Apache DruidApache ImpalaEhcacheIRONdbStardog
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