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DBMS > Apache Impala vs. Cachelot.io vs. FileMaker vs. Hypertable vs. RavenDB

System Properties Comparison Apache Impala vs. Cachelot.io vs. FileMaker vs. Hypertable vs. RavenDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCachelot.io  Xexclude from comparisonFileMaker  Xexclude from comparisonHypertable  Xexclude from comparisonRavenDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopIn-memory caching systemFileMaker is a cross-platform RDBMS that includes a GUI frontend.An open source BigTable implementation based on distributed file systems such as HadoopOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSKey-value storeRelational DBMSWide column storeDocument store
Secondary database modelsDocument storeGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websiteimpala.apache.orgcachelot.iowww.claris.com/­filemakerravendb.net
Technical documentationimpala.apache.org/­impala-docs.htmlwww.claris.com/­resources/­documentationravendb.net/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaClaris infoa subsidiary of AppleHypertable Inc.Hibernating Rhinos
Initial release20132015198320092010
Current release4.1.0, June 202219.4.1, November 20210.9.8.11, March 20165.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoSimplified BSD LicensecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++C#
Server operating systemsLinuxFreeBSD
Linux
OS X
iOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Raspberry Pi
Windows
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesnono
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 format
Secondary indexesyesnoyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infovia pluginsnoSQL-like query language (RQL)
APIs and other access methodsJDBC
ODBC
Memcached protocolFilemaker WebDirect
JDBC
ODBC
C++ API
Thrift
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
PHPC++
Java
Perl
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesnoyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneSource-replica replication, warm standby infosince Version 14selectable replication factor on file system levelMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnosimple rights management via user accounts and connection to external directory servicesnoAuthorization levels configured per client per database

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More resources
Apache ImpalaCachelot.ioFileMakerHypertableRavenDB
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