Five Apache projects you probably didn't know about
In early 2021, I started to work on the Apache APISIX project. I have to admit that I had never heard about it before. In this post, I'd like to introduce some Apache projects that are less well-known than HTTPD or Kafka.
Apache APISIX
APISIX is an API Gateway. It builds upon OpenResty, a Lua layer built on top of the famous nginx reverse-proxy. APISIX adds abstractions to the mix, e.g., Route
, Service
, Upstream
, and offers a plugin-based architecture.
Lots of plugins are provided out of the box:
Transformation:
response-rewrite
,proxy-rewrite
, gRPC,body-transformer
, etc.Authentication: JWT, OPA, Keycloak, OpenID Connect, etc.
Observability: metrics, logging, and traces
Traffic: rate limiting, request validation, canary release, etc.
Serverless: Azure functions, AWS Lambdas, OpenWhisk, etc.
Messaging: Kafka, Dubbo, and MQTT
Pre- and post-processing
If no plugin fits your requirements, writing your own is possible.
You can leverage APISIX on Kubernetes as an Ingress Controller. APISIX provides a Helm Chart for this.
Apache ShardingSphere
ShardingSphere claims to offer an ecosystem able to transform any database into a distributed database system. It acts as a proxy between your code and your database(s). It comes in two flavors:
ShardingSphere-JDBC: a JDBC driver that acts as a proxy to your database(s). It's only available for JVM-based applications.
ShardingSphere-Proxy: a technology-independent deployable component.
ShardingSphere offers several core features:
Data Sharding is the core feature, as the project's name implies. Most use cases focus on scaling purposes, but there are others, e.g., data residency requirements.
XA transactions for distributed transactions
Read/write splitting
Data encryption
etc.
Apache SeaTunnel
Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features.
The power of SeaTunnel comes from its rich connector ecosystem. It does provide traditional SQL connectors, e.g., Oracle, PostgreSQL, and MySQL, and NoSQL ones, e.g., MongoDB, Cassandra, and Elasticsearch. However, it also comes bundled with some original ones, including Jira, Google Sheets, and Notion. I have a particular fondness for the CDC connector sources over MongoDB, MySQL, and Microsoft SQL Server.
SeaTunnel comes with a web UI, which provides visual management of jobs, scheduling, running, and monitoring capabilities.
Apache SkyWalking
Apache SkyWalking is an APM tool, focusing on microservices, Cloud Native apps, and Kuernetes architectures. It builds its architecture on four kinds of components:
Probes collect telemetry data (metrics, logs, traces, and events). They support multiple output formats, including OpenTelemetry.
The platform aggregates and processes data
The storage offers an interface over a supported backend. Supported backends include ElasticSearch, H2, MySQL, TiDB, and BanyanDB, a custom storage engine developed for SkyWalking
Finally, a web UI allows visualizing SkyWalking's data
Skywalking supports a couple of formats, including OpenTelemetry. Given the industry's current focus on OpenTelemetry, I recommend seriously considering this option.
Apache Doris
Apache Doris is a real-time data warehouse.
Doris promotes four primary scenarios:
Reporting analysis
Ad-Hoc query
Unified data warehouse construction
Data lake query
Doris is mostly MySQL compliant so that you can use a regular MySQL client.
Discussion
The Apache Foundation hosts the projects above, but they have another thing in common: they were all incepted in China. Have a look at the Apache project list. You'll probably be amazed at the sheer number; it's close to 300!
In recent years, the number of projects incepted at the Apache Foundation has increased drastically. Look again at the list; I'm sure you only know a few of them - lots come from China. The trend is only growing; it's a great move to integrate China with the OpenSource world!
Just as I finish this post, my friend Stefano Fago has posted on another relevant project, Apache Paimon, a streaming data lake platform.
To go further:
Originally published at A Java Geek on December 17th, 2023
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Written by
Nicolas Fränkel
Nicolas Fränkel
Developer Advocate with 15+ years experience consulting for many different customers, in a wide range of contexts (such as telecoms, banking, insurances, large retail and public sector). Usually working on Java/Java EE and Spring technologies, but with focused interests like Rich Internet Applications, Testing, CI/CD and DevOps. Also double as a trainer and triples as a book author.