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SPECIFICTION
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eXtremeDB vs RocksDB

eXtremeDB

mcobject.com

RocksDB

rocksdb.org

Side by side

FigureeXtremeDBRocksDB
Price from—Free
Free plan—Yes
Free trialYes—
Open source——
WindowsYesYes
macOSYesYes
LinuxYesYes
iOSYesYes
AndroidYes—
APIYesYes
Self-hostedYesYes
Plans published11
Spec score · Embedded Databases8.0 (#10)8.0 (#11)
SupportProduct support is available from McObject’s engineering team on an annual contract and includes software updates and a 50 percent discount on major upgrades.The project directs users to its Google Group or Facebook Group for general questions and reserves GitHub issues for bug reports.

Plans

eXtremeDB

  • eXtremeDB commercial licensePriced on request

eXtremeDB pricing →

RocksDB

  • RocksDBFree

RocksDB pricing →

In their own words

eXtremeDB

eXtremeDB is an in-memory database system designed for embedded devices and applications. It can combine in-memory and persistent storage within one database system. Interfaces include native APIs, REST, SQL, ODBC, and JDBC, with language APIs for C/C++, Java, Python, C#, Go, and Rust. For time-series data, a sequence type provides columnar storage. Distributed options include High Availability, Cluster, and Active Replication Fabric for replication across IoT tiers. Network communications can use TLS/SSL with OpenSSL or wolfSSL. Technical specifications list maximum database sizes of 4 GB on 32-bit architectures and 18.4 exabytes on 64-bit architectures. eXtremeDB supports Android, iOS, Linux, macOS, and Windows, and can be self-hosted. Evaluation downloads are listed for Linux, macOS, and Windows; custom trial packages can be requested for other platforms. McObject offers annual engineering support contracts that include software updates and a 50 percent discount on major upgrades. Commercial licensing is paid, with pricing available on request, and a 60-day trial is listed.

Visit mcobject.com

RocksDB

RocksDB is an embeddable, persistent key-value store for applications that need fast storage. It stores keys and values as arbitrary byte arrays, with ordering determined by a comparator chosen by the user. Its log-structured merge design allows configuration of tradeoffs among write, read, and space amplification, and the project describes it as optimized for low-latency storage on flash drives and high-speed disks. The C++ library supports opening and closing databases, reads and writes, merging, and compaction filters. Described uses include database storage engines, application data caches, and embedded workloads. Multi-threaded compactions support databases holding multiple terabytes; the project describes an audience of application servers storing up to a few terabytes on local or remote systems. RocksDB also has a Java wrapper, RocksJava, with artifacts published through Maven. It is free and open source under either GPLv2 or Apache 2.0, at the user's choice. Building requires GCC 11 or later or Clang 10 or later for C++20 support; values must be smaller than 4 GB.

Visit rocksdb.org