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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Cluster Management
  5. Bazel vs Dynomite

Bazel vs Dynomite

OverviewComparisonAlternatives

Overview

Dynomite
Dynomite
Stacks20
Followers56
Votes9
GitHub Stars4.2K
Forks532
Bazel
Bazel
Stacks313
Followers579
Votes133

Bazel vs Dynomite: What are the differences?

Bazel: Correct, reproducible, fast builds for everyone. Bazel is a build tool that builds code quickly and reliably. It is used to build the majority of Google's software, and thus it has been designed to handle build problems present in Google's development environment; Dynomite: Making Non-Distributed Databases, Distributed. Dynomite is a generic dynamo implementation that can be used with many different key-value pair storage engines. Currently these include Redis and Memcached. Dynomite supports multi-datacenter replication and is designed for high availability.

Bazel belongs to "Java Build Tools" category of the tech stack, while Dynomite can be primarily classified under "Database Cluster Management".

Some of the features offered by Bazel are:

  • Multi-language support: Bazel supports Java, Objective-C and C++ out of the box, and can be extended to support arbitrary programming languages.
  • High-level build language: Projects are described in the BUILD language, a concise text format that describes a project as sets of small interconnected libraries, binaries and tests. By contrast, with tools like Make you have to describe individual files and compiler invocations.
  • Multi-platform support: The same tool and the same BUILD files can be used to build software for different architectures, and even different platforms. At Google, we use Bazel to build both server applications running on systems in our data centers and client apps running on mobile phones.

On the other hand, Dynomite provides the following key features:

  • Replication
  • Highly available reads
  • Pluggable Datastores

Bazel and Dynomite are both open source tools. Bazel with 12.4K GitHub stars and 2.03K forks on GitHub appears to be more popular than Dynomite with 3.09K GitHub stars and 395 GitHub forks.

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Detailed Comparison

Dynomite
Dynomite
Bazel
Bazel

Dynomite is a generic dynamo implementation that can be used with many different key-value pair storage engines. Currently these include Redis and Memcached. Dynomite supports multi-datacenter replication and is designed for high availability.

Bazel is a build tool that builds code quickly and reliably. It is used to build the majority of Google's software, and thus it has been designed to handle build problems present in Google's development environment.

Replication;Highly available reads;Pluggable Datastores;Standard open source Memcached/Redis ASCII protocol support;Scalable I/O event notification server;Peer-to-peer, and linearly scalable;Cold cache warm-up;Asymmetric multi-datacenter replications;Internode communication and Gossip;Functional in AWS and physical datacenter
Multi-language support: Bazel supports Java, Objective-C and C++ out of the box, and can be extended to support arbitrary programming languages;High-level build language: Projects are described in the BUILD language, a concise text format that describes a project as sets of small interconnected libraries, binaries and tests. By contrast, with tools like Make you have to describe individual files and compiler invocations;Multi-platform support: The same tool and the same BUILD files can be used to build software for different architectures, and even different platforms. At Google, we use Bazel to build both server applications running on systems in our data centers and client apps running on mobile phones;Reproducibility: In BUILD files, each library, test, and binary must specify its direct dependencies completely. Bazel uses this dependency information to know what must be rebuilt when you make changes to a source file, and which tasks can run in parallel. This means that all builds are incremental and will always produce the same result;Scalable: Bazel can handle large builds
Statistics
GitHub Stars
4.2K
GitHub Stars
-
GitHub Forks
532
GitHub Forks
-
Stacks
20
Stacks
313
Followers
56
Followers
579
Votes
9
Votes
133
Pros & Cons
Pros
  • 3
    Multi datacenters or regions
  • 2
    Pluggable APIs (Currently have Redis/Memcached APIs)
  • 2
    Low latency high throughput
  • 1
    Support many datastores: redis, memcached, rocksdb, etc
  • 1
    Scale
Pros
  • 28
    Fast
  • 20
    Deterministic incremental builds
  • 17
    Correct
  • 16
    Multi-language
  • 14
    Enforces declared inputs/outputs
Cons
  • 3
    No Windows Support
  • 2
    Bad IntelliJ support
  • 1
    Lack of Documentation
  • 1
    Constant breaking changes
  • 1
    Poor windows support for some languages
Integrations
Redis
Redis
Memcached
Memcached
Java
Java
Objective-C
Objective-C
C++
C++

What are some alternatives to Dynomite, Bazel?

Apache Maven

Apache Maven

Maven allows a project to build using its project object model (POM) and a set of plugins that are shared by all projects using Maven, providing a uniform build system. Once you familiarize yourself with how one Maven project builds you automatically know how all Maven projects build saving you immense amounts of time when trying to navigate many projects.

Gradle

Gradle

Gradle is a build tool with a focus on build automation and support for multi-language development. If you are building, testing, publishing, and deploying software on any platform, Gradle offers a flexible model that can support the entire development lifecycle from compiling and packaging code to publishing web sites.

Pants

Pants

Pants is a build system for Java, Scala and Python. It works particularly well for a source code repository that contains many distinct projects.

JitPack

JitPack

JitPack is an easy to use package repository for Gradle/Sbt and Maven projects. We build GitHub projects on demand and provides ready-to-use packages.

SBT

SBT

It is similar to Java's Maven and Ant. Its main features are: Native support for compiling Scala code and integrating with many Scala test frameworks.

Navicat

Navicat

Powerful database management & design tool for Win, Mac & Linux. With intuitive GUI, user manages MySQL, MariaDB, SQL Server, SQLite, Oracle & PostgreSQL DB easily.

Buck

Buck

Buck encourages the creation of small, reusable modules consisting of code and resources, and supports a variety of languages on many platforms.

Apache Ant

Apache Ant

Ant is a Java-based build tool. In theory, it is kind of like Make, without Make's wrinkles and with the full portability of pure Java code.

Please

Please

Please is a cross-language build system with an emphasis on high performance, extensibility and reproduceability. It supports a number of popular languages and can automate nearly any aspect of your build process.

CMake

CMake

It is used to control the software compilation process using simple platform and compiler independent configuration files, and generate native makefiles and workspaces that can be used in the compiler environment of the user's choice.

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