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DBMS > Firebolt vs. Ignite vs. InfinityDB vs. IRONdb vs. Transwarp Hippo

System Properties Comparison Firebolt vs. Ignite vs. InfinityDB vs. IRONdb vs. Transwarp Hippo

Editorial information provided by DB-Engines
NameFirebolt  Xexclude from comparisonIgnite  Xexclude from comparisonInfinityDB  Xexclude from comparisonIRONdb  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A Java embedded Key-Value Store which extends the Java Map interfaceA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value storeTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score0.05
Rank#386  Overall
#14  Vector DBMS
Websitewww.firebolt.ioignite.apache.orgboilerbay.comwww.circonus.com/solutions/time-series-database/www.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdocs.firebolt.ioapacheignite.readme.io/­docsboilerbay.com/­infinitydb/­manualdocs.circonus.com/irondb/category/getting-started
DeveloperFirebolt Analytics Inc.Apache Software FoundationBoiler Bay Inc.Circonus LLC.
Initial release20202015200220172023
Current releaseApache Ignite 2.64.0V0.10.20, January 20181.0, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetJavaC and C++C++
Server operating systemshostedLinux
OS X
Solaris
Windows
All OS with a Java VMLinuxLinux
macOS
Data schemeyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes infotext, numeric, histogramsVector, Numeric and String
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.yesnonono
Secondary indexesyesyesno infomanual creation possible, using inversions based on multi-value capabilitynono
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLnoSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methods.Net
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP APIRESTful HTTP API
Supported programming languagesGo
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Java.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)noyes, in Luano
Triggersnoyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic, metric affinity per nodeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes (replicated cache)noneconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilitynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsnonoRole based access control and fine grained access rights

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More resources
FireboltIgniteInfinityDBIRONdbTranswarp Hippo
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