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DBMS > HarperDB vs. Hive vs. Ignite vs. Sqrrl vs. VictoriaMetrics

System Properties Comparison HarperDB vs. Hive vs. Ignite vs. Sqrrl vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonHive  Xexclude from comparisonIgnite  Xexclude from comparisonSqrrl  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.data warehouse software for querying and managing large distributed datasets, built on HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Adaptable, secure NoSQL built on Apache AccumuloA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument storeRelational DBMSKey-value store
Relational DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#244  Overall
#38  Document stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitewww.harperdb.iohive.apache.orgignite.apache.orgsqrrl.comvictoriametrics.com
Technical documentationdocs.harperdb.io/­docscwiki.apache.org/­confluence/­display/­Hive/­Homeapacheignite.readme.io/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperHarperDBApache Software Foundation infoinitially developed by FacebookApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.VictoriaMetrics
Initial release20172012201520122018
Current release3.1, August 20213.1.3, April 2022Apache Ignite 2.6v1.91, May 2023
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2Open Source infoApache 2.0commercialOpen Source infoApache Version 2.0
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 languageNode.jsJavaC++, Java, .NetJavaGo
Server operating systemsLinux
OS X
All OS with a Java VMLinux
OS X
Solaris
Windows
LinuxFreeBSD
Linux
macOS
OpenBSD
Data schemedynamic schemayesyesschema-free
Typing infopredefined data types such as float or dateyes infoJSON data typesyesyesyes
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.noyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like data manipulation statementsSQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Java
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1yes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)nono
Triggersnonoyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterShardingShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedselectable replication factoryes (replicated cache)selectable replication factor infomaking use of HadoopSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDAtomic updates per row, document, or graph entityno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using LMDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and rolesSecurity Hooks for custom implementationsCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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HarperDBHiveIgniteSqrrlVictoriaMetrics
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