SynxDB 4.x – The Next-Gen MPP PostgreSQL for Analytics
- Tushar Pednekar
- Oct 14
- 3 min read
When Broadcom closed Greenplum, enterprises lost an open and scalable foundation for data analytics.
SynxDB 4.x revives that ecosystem — and takes it forward.

Built on PostgreSQL 14.4 with a shared-nothing MPP architecture, SynxDB 4.x delivers a high-performance analytics engine for hybrid, on-prem, and private cloud deployments.
It is the evolution of open Greenplum, combining the flexibility of Postgres with modern optimizations for performance, parallelism, and enterprise-grade reliability.
⚙️
1️⃣ Advanced Query Optimization
The query optimizer in SynxDB 4.x has been redesigned to handle modern workloads with intelligence and flexibility:
AQUMV (Answer Query Using Materialized Views) automatically substitutes pre-aggregated MVs into queries for instant performance gains.
Index-Only and Backward Scans reduce I/O and avoid redundant sorting .
Query Plan Hints allow granular optimizer overrides for specific workloads .
Concurrent Index Creation ensures continuous data ingestion with zero downtime during maintenance.
These capabilities give DBAs both control and automation, optimizing cost-based execution plans without complex tuning.
🧠
2️⃣ Rich Analytical and AI Extensions
SynxDB integrates deeply with PostgreSQL’s ecosystem and adds enterprise extensions:
PostGIS 2.5.4+synxdb4.1.1 – Spatial analytics for geodata.
PL/R and PL/Python – Embedded analytics and ML scripting.
PXF 6.4.0+synxdb4.1.1 – Federated access to Hadoop, Hive, and S3-compatible object storage.
UnionStore – Internal storage layer providing hybrid transactional-analytical (HTAP) capabilities.
Together, these modules make SynxDB 4.x a multimodal analytics engine — capable of handling structured, semi-structured, and federated datasets natively .
📊
3️⃣ Storage & Table Design Best Practices
SynxDB supports multiple storage formats — Heap, Append-Optimized (AO), and hybrid PAX tables — balancing write throughput with read performance :
PAX tables offer columnar read speeds with row-oriented write efficiency.
Compression (zstd) ensures efficient disk utilization without query penalties.
Partition Pruning and Distribution Key Alignment enhance parallelism across segments.
In high-volume analytic environments, well-designed distribution keys and partition strategies ensure balanced workloads and fast joins across segments.
🧩
4️⃣ Fault Tolerance & High Availability
SynxDB’s FTS (Fault Tolerance Service) monitors node health and automates recovery .
Through replicated WAL logs, segment mirrors maintain real-time synchronization.
If a master or segment fails, standby activation ensures recovery in seconds — preserving data integrity and uptime.
For hybrid environments, SynxDB’s metadata-driven replication can mirror data across clusters, enabling cross-site HA or cloud DR without specialized appliances.
🚀
5️⃣ Performance Tuning and Resource Management
For performance engineering, SynxDB provides granular controls:
gp_vmem_protect_limit and statement_mem parameters for workload memory tuning .
Resource Queues to control concurrent queries and enforce workload fairness.
gp_toolkit views to monitor skew and spill files for diagnostic insights.
These tools make SynxDB predictable and stable at scale, even with thousands of concurrent sessions.
🧰
6️⃣ Administration & Developer Experience
SynxDB offers seamless connectivity across client interfaces:
psql, JDBC, psycopg2 for direct SQL access.
pg_hba.conf-based authentication with LDAP and Kerberos integration .
Role-based access with fine-grained privileges, TDE encryption, and dynamic data masking for enterprise compliance.
This unified approach ensures secure and flexible operations across diverse user environments.
🧾
Appendix: SynxDB 4.1.1 Package Listing
Below is the official package manifest for SynxDB 4.1.1, the latest stable release.
It includes all major components required for full deployment across CentOS, Rocky, and Amazon Linux environments.

This release continues Synx’s commitment to open, production-grade PostgreSQL analytics — optimized for high availability, multimodal data workloads, and scalable performance.
SynxDB 4.x is more than a replacement for Greenplum — it’s a modernized Postgres MPP designed for real enterprise scale.
With innovations like AQUMV, PAX storage, UnionStore, and a unified ecosystem of extensions, it stands as the most complete open-source analytics platform available today.



Comments