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DBMS > Apache Drill vs. EXASOL vs. FileMaker vs. Google Cloud Datastore vs. IRONdb

System Properties Comparison Apache Drill vs. EXASOL vs. FileMaker vs. Google Cloud Datastore vs. IRONdb

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonEXASOL  Xexclude from comparisonFileMaker  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonIRONdb  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 StorageHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Websitedrill.apache.orgwww.exasol.comwww.claris.com/­filemakercloud.google.com/­datastorewww.circonus.com/solutions/time-series-database/
Technical documentationdrill.apache.org/­docswww.exasol.com/­resourceswww.claris.com/­resources/­documentationcloud.google.com/­datastore/­docsdocs.circonus.com/irondb/category/getting-started
DeveloperApache Software FoundationExasolClaris infoa subsidiary of AppleGoogleCirconus LLC.
Initial release20122000198320082017
Current release1.20.3, January 202319.4.1, November 2021V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++
Server operating systemsLinux
OS X
Windows
iOS infoclient part only
Linux
OS X
Windows
hostedLinux
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, details hereyes infotext, numeric, histograms
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.nonoyes infoA http query request can return the data in XML formatnono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyesyes infovia pluginsSQL-like query language (GQL)SQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
Filemaker WebDirect
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP API
Supported programming languagesC++Java
Lua
Python
R
PHP.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsyesusing Google App Engineyes, in Lua
TriggersnoyesyesCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Multi-source replication using Paxosconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoHadoop integrationnoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynoyesyesyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
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 sourceAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
Apache DrillEXASOLFileMakerGoogle Cloud DatastoreIRONdb
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