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DBMS > FeatureBase vs. Hypertable vs. InfinityDB vs. XTDB

System Properties Comparison FeatureBase vs. Hypertable vs. InfinityDB vs. XTDB

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonHypertable  Xexclude from comparisonInfinityDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.An open source BigTable implementation based on distributed file systems such as HadoopA Java embedded Key-Value Store which extends the Java Map interfaceA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSWide column storeKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.featurebase.comboilerbay.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.featurebase.comboilerbay.com/­infinitydb/­manualwww.xtdb.com/­docs
DeveloperMolecula and Pilosa Open Source ContributorsHypertable Inc.Boiler Bay Inc.Juxt Ltd.
Initial release2017200920022019
Current release2022, May 20220.9.8.11, March 20164.01.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++JavaClojure
Server operating systemsLinux
macOS
Linux
OS X
Windows infoan inofficial Windows port is available
All OS with a Java VMAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or dateyesnoyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes, extensible-data-notation format
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.nonono
Secondary indexesnorestricted infoonly exact value or prefix value scansno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLSQL queriesnonolimited SQL, making use of Apache Calcite
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
C++ API
Thrift
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP REST
JDBC
Supported programming languagesJava
Python
C++
Java
Perl
PHP
Python
Ruby
JavaClojure
Java
Server-side scripts infoStored proceduresnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integrityyesnono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infoOptimistic locking for transactions; no isolation for bulk loadsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnono

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FeatureBaseHypertableInfinityDBXTDB infoformerly named Crux
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