Apache Pulsar vs Memphis
This section describes the differeneces between Pulsar and Memphis
Last updated
This section describes the differeneces between Pulsar and Memphis
Last updated
All rights reserved to Memphis.dev 2023
Apache Pulsar is an open-source distributed messaging system. Originally developed as a queuing system, it has been broadened in recent releases to add event streaming features. Pulsar makes use of Apache BookKeeper™ for its storage layer—a project created at Yahoo as a high-availability solution to Hadoop's HDFS NameNode (although not ultimately used for that use case). It shares properties with both Kafka and RabbitMQ. Pulsar is a largely community-led project with no enterprise-grade commercial backing today.
Memphis.dev is a next-generation alternative to traditional message brokers.
It enables building modern queue-based applications that require large volumes of streamed and enriched data, modern protocols, zero ops, up to x9 faster development, up to x46 fewer costs, and significantly lower dev time for data-oriented developers and data engineers.
Low footprint, highly resilient, cloud-native, and run on any Kubernetes, on any cloud.
Parameter | Memphis.dev | Apache Pulsar |
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Parameter | Memphis.dev | Apache Pulsar |
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Memphis.dev is a pure distributed log designed for efficient event streaming and processing at a high scale. Pulsar is not a distributed log in the true sense, but it synthesizes some similar properties, but the main difference would.
Parameter | Memphis.dev | Apache Pulsar |
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Parameter | Memphis.dev | Apache Pulsar |
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License
BSL 1.0
Apache 2.0
Components
Memphis + PostgreSQL
Pulsar + Zookeeper + BookKeeper + RocksDB
Message consumption model
Pull
Push
Storage architecture
Log
Index
Deployment
Made through helm
or docker compose
. Made out of two main components: broker and metadata store
Requires four components be configured and understood: Pulsar servers (brokers) plus Apache BookKeeper (bookies) plus Apache ZooKeeper servers as well as the RocksDB database used by BookKeeper
Enterprise support
Yes
Yes
Managed cloud offerings
Yes
Yes
Self-Healing
Yes
No
Notifications
Yes
No
Message tracing (aka Stream lineage)
Yes
No
Storage balancing
Automatic based on policy
No
Mirroring (Replication)
Yes
Yes
Multi-tenancy
Yes
Yes
Ordering guarantees
Consumer group level
Partition level
Storage tiering
Yes
No
Permanent storage
Yes
Messages get deleted after ACK
Delivery guarantees
At least once, Exactly once
Exactly once
Idempotency
Yes
Yes
Geo-Replication (Multi-region)
Yes
Yes
GUI
Native
3rd Party
Dead-letter Queue
Yes
No
Schema Enforcement
Yes
Yes
Message routing
Yes
Yes
Log compaction
Yes
Yes
Message replay, time travel
Yes
Yes
Stream Enrichment
SQL and custom code functions
SQL-based functions
Pull retry mechanism
Yes
Client responsibility